Senior AI Architect
Carmel, IN · On-site
... architects to align AI work with enterprise architecture. • Translate business needs into scalable AI architecture blueprints. • Act as an AI advisor to product teams, executives, and ...
Senior AI Architect
Carmel, IN · On-site
... architects to align AI work with enterprise architecture. • Translate business needs into scalable AI architecture blueprints. • Act as an AI advisor to product teams, executives, and ...
Develop and align enterprise AI architecture on OCI, with a focus on generative AI capabilities and Oracle applications * Architect and deliver integrated AI solutions, including agentic workflows ...
Develop and align enterprise AI architecture on OCI, with a focus on generative AI capabilities and Oracle applications * Architect and deliver integrated AI solutions, including agentic workflows ...
Senior AI Architect
Carmel, IN · On-site
... to align AI solutions with enterprise standards and delivery expectations. • Build or directly contribute to proofs-of-concept, prototypes, technical spikes, and reference implementations to ...
Senior AI Architect
Carmel, IN · On-site
... to align AI solutions with enterprise standards and delivery expectations. • Build or directly contribute to proofs-of-concept, prototypes, technical spikes, and reference implementations to ...
Interface and partner with the internal Optiv teams to align client expectations as it pertains to AI with the entire Optiv solution portfolio to ensure technology and service implementation and ...
Interface and partner with the internal Optiv teams to align client expectations as it pertains to AI with the entire Optiv solution portfolio to ensure technology and service implementation and ...
Senior AI Architect, Indianapolis, IN Agility 360 seeking a Senior AI Architect for a client in ... Collaborate with architecture, security, data, and governance teams to align with enterprise ...
Senior AI Architect, Indianapolis, IN Agility 360 seeking a Senior AI Architect for a client in ... Collaborate with architecture, security, data, and governance teams to align with enterprise ...
Senior AI Architect, Indianapolis, IN Agility 360 seeking a Senior AI Architect for a client in ... Collaborate with architecture, security, data, and governance teams to align with enterprise ...
Senior AI Architect, Indianapolis, IN Agility 360 seeking a Senior AI Architect for a client in ... Collaborate with architecture, security, data, and governance teams to align with enterprise ...
The role ensures AI services are secure, cost-efficient, compliant, and aligned with identity governance standards. Like other platform and identity administration roles, this position emphasizes ...
The role ensures AI services are secure, cost-efficient, compliant, and aligned with identity governance standards. Like other platform and identity administration roles, this position emphasizes ...
The role ensures AI services are secure, cost-efficient, compliant, and aligned with identity governance standards. Like other platform and identity administration roles, this position emphasizes ...
The role ensures AI services are secure, cost-efficient, compliant, and aligned with identity governance standards. Like other platform and identity administration roles, this position emphasizes ...
Coordinate across business stakeholders, operations teams, and DDAT to ensure aligned priorities ... AI solutions are not just deployed-but consistently adopted and embedded into daily workflows
Coordinate across business stakeholders, operations teams, and DDAT to ensure aligned priorities ... AI solutions are not just deployed-but consistently adopted and embedded into daily workflows
Senior AI Architect, Indianapolis, IN ID: 1849 Location: Indianapolis, IN Description Senior AI ... Collaborate with architecture, security, data, and governance teams to align with enterprise ...
Senior AI Architect, Indianapolis, IN ID: 1849 Location: Indianapolis, IN Description Senior AI ... Collaborate with architecture, security, data, and governance teams to align with enterprise ...
AI Solution Orchestrator
$52.75 - $68/hr
Business Process Alignment & Product-Engineering Translation: Partner with product leads to deeply understand CSM jobs-to-be-done (JTBD), ensuring all AI features and agent solutions are designed for ...
AI Solution Orchestrator
$52.75 - $68/hr
Business Process Alignment & Product-Engineering Translation: Partner with product leads to deeply understand CSM jobs-to-be-done (JTBD), ensuring all AI features and agent solutions are designed for ...
Help build reusable AI capabilities, evaluation frameworks, and governance processes that ensure AI systems are reliable, measurable, compliant, and aligned with Responsible AI principles. Will work ...
Help build reusable AI capabilities, evaluation frameworks, and governance processes that ensure AI systems are reliable, measurable, compliant, and aligned with Responsible AI principles. Will work ...
AI Solution Orchestrator
Indianapolis, IN · On-site
$52.75 - $68/hr
Business Process Alignment & Product-Engineering Translation: Partner with product leads to deeply understand CSM jobs-to-be-done (JTBD), ensuring all AI features and agent solutions are designed for ...
AI Solution Orchestrator
Indianapolis, IN · On-site
$52.75 - $68/hr
Business Process Alignment & Product-Engineering Translation: Partner with product leads to deeply understand CSM jobs-to-be-done (JTBD), ensuring all AI features and agent solutions are designed for ...
AI Machine Learning Scientist
Indianapolis, IN · On-site +1
Help build reusable AI capabilities, evaluation frameworks, and governance processes that ensure AI systems are reliable, measurable, compliant, and aligned with Responsible AI principles. Will work ...
AI Machine Learning Scientist
Indianapolis, IN · On-site +1
Help build reusable AI capabilities, evaluation frameworks, and governance processes that ensure AI systems are reliable, measurable, compliant, and aligned with Responsible AI principles. Will work ...
AI Machine Learning Scientist
Indianapolis, IN · On-site +1
Help build reusable AI capabilities, evaluation frameworks, and governance processes that ensure AI systems are reliable, measurable, compliant, and aligned with Responsible AI principles. Will work ...
AI Machine Learning Scientist
Indianapolis, IN · On-site +1
Help build reusable AI capabilities, evaluation frameworks, and governance processes that ensure AI systems are reliable, measurable, compliant, and aligned with Responsible AI principles. Will work ...
Project Manager (AI) - Warsaw IN
Warsaw, IN · On-site
$95K - $112K/yr
Project Manager (AI) Warsaw, IN - Onsite Duration: 12 Months What you can expect: As the IT PMO ... Execute projects in alignment with established PMO strategies, policies, and procedures. Provide ...
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Project Manager (AI) - Warsaw IN
Warsaw, IN · On-site
$95K - $112K/yr
Project Manager (AI) Warsaw, IN - Onsite Duration: 12 Months What you can expect: As the IT PMO ... Execute projects in alignment with established PMO strategies, policies, and procedures. Provide ...
Ensure AI usage across the org is consistent, ethical, and aligned with company policies * Monitor the evolving AI landscape and make recommendations on new tools and practices Cross-Functional ...
Ensure AI usage across the org is consistent, ethical, and aligned with company policies * Monitor the evolving AI landscape and make recommendations on new tools and practices Cross-Functional ...
Establish data handling and model access policies aligned with security requirements * Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability * Design human-in-the ...
Establish data handling and model access policies aligned with security requirements * Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability * Design human-in-the ...
Principal AI Systems Engineer
Auburn, IN · On-site +1
$170K - $190K/yr
Establish data handling and model access policies aligned with security requirements * Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability * Design human-in-the ...
Principal AI Systems Engineer
Auburn, IN · On-site +1
$170K - $190K/yr
Establish data handling and model access policies aligned with security requirements * Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability * Design human-in-the ...
Ensure AI usage across the org is consistent, ethical, and aligned with company policies * Monitor the evolving AI landscape and make recommendations on new tools and practices Cross-Functional ...
Ensure AI usage across the org is consistent, ethical, and aligned with company policies * Monitor the evolving AI landscape and make recommendations on new tools and practices Cross-Functional ...
Ai Alignment information
What is AI alignment?
AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.
What is the difference between Ai Alignment vs Data Scientist?
| Aspect | Ai Alignment | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in AI, Machine Learning, or related fields | Degree in Data Science, Statistics, Computer Science, or related fields |
| Work Environment | Research labs, AI development companies, tech firms | Tech companies, finance, healthcare, consulting firms |
| Industry Usage | Focuses on ensuring AI systems behave as intended | Analyzes data to extract insights and build predictive models |
While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.
How to become an AI alignment researcher?
To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering this specialized field.
What are some common challenges faced by professionals working in AI alignment roles?
Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.
What are the key skills and qualifications needed to thrive as an AI Alignment Specialist, and why are they important?
To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.
Which 3 jobs will survive AI?
AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.
What is an AI alignment?
AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
What are popular job titles related to Ai Alignment jobs in Indiana? For Ai Alignment jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Indiana look for? The top searched job categories for Ai Alignment jobs in Indiana are:
What cities in Indiana are hiring for Ai Alignment jobs? Cities in Indiana with the most Ai Alignment job openings:
Allied Solutions rating
7.9
Based on 11 frontline employees who took The Breakroom Quiz
158th of 281 rated insurance
Job description
Job Summary:
Allied Solutions LLC is a company focused on providing innovative solutions, and they are seeking a Senior AI Architect to shape the enterprise-wide AI architecture vision. This role involves designing scalable AI solutions, leading architectural planning, and ensuring the integration of AI technologies into the enterprise ecosystem responsibly and effectively.
Responsibilities:
• Architect end-to-end AI/ML systems including data pipelines, feature stores, training infrastructure, and inference services.
• Lead architectural planning for advanced use cases such as NLP, generative AI, or predictive analytics.
• Define best practices for AI software design, performance optimization, and deployment across cloud and on-prem environments.
• Set architectural direction for integrating AI with enterprise systems (e.g., APIs, message queues, core platforms).
• Collaborate with DevOps and MLOps teams to standardize CI/CD practices for AI models.
• Conduct technical reviews of proof of concepts, architecture diagrams, and production implementations.
• Evaluate AI solutions for ethical risks, regulatory compliance (e.g., GDPR, CCPA), and responsible usage.
• Define and enforce architectural standards for AI governance, including data retention, auditability, and explainability.
• Lead AI-specific architecture review boards or participate in cross-domain design councils.
• Identify and resolve architectural risks and technical debt in AI initiatives.
• Partner with security, data, and cloud architects to align AI work with enterprise architecture.
• Translate business needs into scalable AI architecture blueprints.
• Act as an AI advisor to product teams, executives, and stakeholders.
• Guide prioritization of AI use cases based on feasibility, value, and strategic fit.
• Evangelize AI architecture principles and value propositions across business units.
• Stay current on emerging trends (e.g., LLMs, vector databases, RAG architecture, federated learning).
• Evaluate new tools and frameworks for internal adoption and experimentation.
• Lead or sponsor innovation labs or structured pilot projects.
• Promote a culture of experimentation, reuse, and continuous learning within the AI team.
• Share technical insights and best practices through workshops, presentations, or internal documentation.
• Evaluate third-party AI platforms, APIs, and infrastructure components for enterprise use.
• Compare costs, capabilities, and security profiles of vendor solutions.
• Ensure external technologies integrate cleanly with enterprise data, security, and development ecosystems.
• Provide architectural due diligence for AI vendor contracts and pilots.
• Partner with procurement or vendor management teams on technical assessments.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline required.
• 10+ years of software engineering or architecture experience, with at least 5 years in AI/ML architecture and solution leadership.
• Deep knowledge of AI/ML system design, including data pipelines, model lifecycle management, MLOps, and cloud-native deployments.
• Strong expertise with platforms such as Azure Machine Learning, AWS SageMaker, Google Vertex AI, Databricks, and OpenAI APIs.
• Demonstrated experience leading cross-functional teams and influencing enterprise-wide architecture decisions.
• Prior experience contributing to AI governance frameworks or responsible AI initiatives.
• Familiarity with enterprise security, data privacy laws, and risk management practices related to AI.
• Practical experience with LLM deployment, vector databases, RAG architecture, or similar emerging AI capabilities.
• Strong organizational skills and attention to detail.
Preferred:
• Master’s degree preferred.
• Enterprise architecture certification (e.g., TOGAF, Zachman) is a plus.
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required.
Company:
Allied Solutions uses technology based products and services to meet the insurance, lending and marketing needs of more than 6,000 financial institutions in North America. Founded in 2000, the company is headquartered in Carmel, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Allied Solutions LLC is a company focused on providing innovative solutions, and they are seeking a Senior AI Architect to shape the enterprise-wide AI architecture vision. This role involves designing scalable AI solutions, leading architectural planning, and ensuring the integration of AI technologies into the enterprise ecosystem responsibly and effectively.
Responsibilities:
• Architect end-to-end AI/ML systems including data pipelines, feature stores, training infrastructure, and inference services.
• Lead architectural planning for advanced use cases such as NLP, generative AI, or predictive analytics.
• Define best practices for AI software design, performance optimization, and deployment across cloud and on-prem environments.
• Set architectural direction for integrating AI with enterprise systems (e.g., APIs, message queues, core platforms).
• Collaborate with DevOps and MLOps teams to standardize CI/CD practices for AI models.
• Conduct technical reviews of proof of concepts, architecture diagrams, and production implementations.
• Evaluate AI solutions for ethical risks, regulatory compliance (e.g., GDPR, CCPA), and responsible usage.
• Define and enforce architectural standards for AI governance, including data retention, auditability, and explainability.
• Lead AI-specific architecture review boards or participate in cross-domain design councils.
• Identify and resolve architectural risks and technical debt in AI initiatives.
• Partner with security, data, and cloud architects to align AI work with enterprise architecture.
• Translate business needs into scalable AI architecture blueprints.
• Act as an AI advisor to product teams, executives, and stakeholders.
• Guide prioritization of AI use cases based on feasibility, value, and strategic fit.
• Evangelize AI architecture principles and value propositions across business units.
• Stay current on emerging trends (e.g., LLMs, vector databases, RAG architecture, federated learning).
• Evaluate new tools and frameworks for internal adoption and experimentation.
• Lead or sponsor innovation labs or structured pilot projects.
• Promote a culture of experimentation, reuse, and continuous learning within the AI team.
• Share technical insights and best practices through workshops, presentations, or internal documentation.
• Evaluate third-party AI platforms, APIs, and infrastructure components for enterprise use.
• Compare costs, capabilities, and security profiles of vendor solutions.
• Ensure external technologies integrate cleanly with enterprise data, security, and development ecosystems.
• Provide architectural due diligence for AI vendor contracts and pilots.
• Partner with procurement or vendor management teams on technical assessments.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline required.
• 10+ years of software engineering or architecture experience, with at least 5 years in AI/ML architecture and solution leadership.
• Deep knowledge of AI/ML system design, including data pipelines, model lifecycle management, MLOps, and cloud-native deployments.
• Strong expertise with platforms such as Azure Machine Learning, AWS SageMaker, Google Vertex AI, Databricks, and OpenAI APIs.
• Demonstrated experience leading cross-functional teams and influencing enterprise-wide architecture decisions.
• Prior experience contributing to AI governance frameworks or responsible AI initiatives.
• Familiarity with enterprise security, data privacy laws, and risk management practices related to AI.
• Practical experience with LLM deployment, vector databases, RAG architecture, or similar emerging AI capabilities.
• Strong organizational skills and attention to detail.
Preferred:
• Master’s degree preferred.
• Enterprise architecture certification (e.g., TOGAF, Zachman) is a plus.
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required.
Company:
Allied Solutions uses technology based products and services to meet the insurance, lending and marketing needs of more than 6,000 financial institutions in North America. Founded in 2000, the company is headquartered in Carmel, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
What Allied Solutions employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Allied Solutions
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
1,001 - 5,000 Employees
Headquarters location
Carmel, IN, US
Year founded
1978