Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini.
Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini.
Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini.
Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini.
Software Engineer
Indianapolis, IN · On-site +1
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a ...
Software Engineer
Indianapolis, IN · On-site +1
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a ...
Software Engineer
Indianapolis, IN · On-site +1
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a ...
Software Engineer
Indianapolis, IN · On-site +1
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a ...
... generative AI platforms >> Hands-on knowledge of cloud-based AIML services (Azure ML, AWS SageMaker, Vertex AI) >> Familiarity with vector databases, RAG pipelines, and API development >> Prior ...
... generative AI platforms >> Hands-on knowledge of cloud-based AIML services (Azure ML, AWS SageMaker, Vertex AI) >> Familiarity with vector databases, RAG pipelines, and API development >> Prior ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
AI Product Architect Director
Carmel, IN · On-site
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
AI Product Architect Director
Carmel, IN · On-site
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Senior Applied Scientist
Indianapolis, IN · On-site +1
Develop machine learning and generative AI models that ship as customer-facing product features * Collaborate closely with engineers to write production-quality code and contribute across the full ...
Senior Applied Scientist
Indianapolis, IN · On-site +1
Develop machine learning and generative AI models that ship as customer-facing product features * Collaborate closely with engineers to write production-quality code and contribute across the full ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks. * Prototype ...
Senior AI/ML Engineer
$99K - $137K/yr
... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or ...
Senior AI/ML Engineer
$99K - $137K/yr
... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or ...
Oracle AI Manager
Indianapolis, IN · On-site
... Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud Infrastructure Data Science, Vision, Language, or Generative AI service Bachelor's degree in Computer Science ...
Oracle AI Manager
Indianapolis, IN · On-site
... Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud Infrastructure Data Science, Vision, Language, or Generative AI service Bachelor's degree in Computer Science ...
Senior AI/ML Engineer
$99K - $137K/yr
... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or ...
Senior AI/ML Engineer
$99K - $137K/yr
... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or ...
Senior AI/ML Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or ...
Senior AI/ML Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
AI/ML engineer
Indianapolis, IN · On-site
$100K - $120K/yr
Required : • Strong proficiency in Python and ML frameworks (PyTorch| TensorFlow| scikit-learn) • Experience with LLMs| prompt engineering| and generative AI platforms • Hands-on knowledge of ...
AI/ML engineer
Indianapolis, IN · On-site
$100K - $120K/yr
Required : • Strong proficiency in Python and ML frameworks (PyTorch| TensorFlow| scikit-learn) • Experience with LLMs| prompt engineering| and generative AI platforms • Hands-on knowledge of ...
Experience with generative AI safety and evaluation practices, including prompt injection testing, jailbreak resilience, hallucination measurement, toxicity scoring, harm scoring, and grounding ...
Experience with generative AI safety and evaluation practices, including prompt injection testing, jailbreak resilience, hallucination measurement, toxicity scoring, harm scoring, and grounding ...
Generative Ai information
What is a Generative AI job?
A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.
What are generative AI jobs?
Generative AI jobs involve developing and deploying artificial intelligence systems that create content such as text, images, or audio. These roles typically require skills in machine learning, deep learning frameworks, and programming languages like Python, often involving tasks like model training, data preparation, and algorithm optimization.
What are the primary responsibilities of a Generative AI Specialist on a typical team?
A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.
What are the key skills and qualifications needed to thrive in the Generative Ai position, and why are they important?
To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.
What jobs or careers use generative AI?
Generative AI is used in roles such as AI researchers, machine learning engineers, data scientists, and AI product developers. These jobs involve designing, training, and deploying AI models that generate content, images, or text, often requiring skills in programming, deep learning frameworks, and data analysis.
Is GenAI a good career?
A career in Generative AI involves developing and applying AI models that create content, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI expertise across industries, offering opportunities in research, development, and deployment. Continuous learning and familiarity with tools like neural networks and deep learning frameworks are important for success.
What is a $900,000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are the most commonly searched types of Generative Ai jobs in Indiana? The most popular types of Generative Ai jobs in Indiana are:
What are popular job titles related to Generative Ai jobs in Indiana? For Generative Ai jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Generative Ai jobs in Indiana look for? The top searched job categories for Generative Ai jobs in Indiana are:
What cities in Indiana are hiring for Generative Ai jobs? Cities in Indiana with the most Generative Ai job openings:
Other
Posted 22 days ago
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Technical AI Instructor and Forward-Deployed Engineer II
We are seeking a highly skilled and passionate individual to join our team as a Technical AI Instructor and Forward-Deployed Engineer II. This role involves teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.
Recruiting for this role ends on June 15, 2026
Work you'll do
In this role, you will be responsible for:
- Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
- Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
- Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
- Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
- Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
- Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The Team
Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.
Qualifications
Required
- Bachelor's degree.
- 1+ years experience in AI, machine learning, and/or data science.
- 1+ years experience with generative AI tools for software development, user experience, design, and product management.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve
Preferred
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of software development best practices and agile methodologies.
- Familiarity with product management and user experience design principles.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#Customer_US
#AMC_US
Technical AI Instructor and Forward-Deployed Engineer II
We are seeking a highly skilled and passionate individual to join our team as a Technical AI Instructor and Forward-Deployed Engineer II. This role involves teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.
Recruiting for this role ends on June 15, 2026
Work you'll do
In this role, you will be responsible for:
- Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
- Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
- Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
- Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
- Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
- Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The Team
Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.
Qualifications
Required
- Bachelor's degree.
- 1+ years experience in AI, machine learning, and/or data science.
- 1+ years experience with generative AI tools for software development, user experience, design, and product management.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve
Preferred
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of software development best practices and agile methodologies.
- Familiarity with product management and user experience design principles.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#Customer_US
#AMC_US