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Ai Solutions Manager Jobs in Indiana (NOW HIRING)

AI Solutions Consulting Lead About Crowe Studio Crowe Studio is a business unit dedicated to ... Manage project risks, issues, and changes proactively while maintaining clear stakeholder ...

The AI Engineer partners closely with product managers, platform engineers, data engineers, and business stakeholders to deliver scalable, secure, and reliable AI solutions that support enterprise ...

Responsibilities : • Lead the architecture, design, and implementation of ML/AI solutions ... managers, and global teams to ensure seamless execution and timely delivery. • Conduct design ...

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Ai Solutions Manager information

What is an AI Solutions Manager?

AI Solutions Managers are professionals responsible for overseeing the development, implementation, and management of artificial intelligence solutions within an organization. They work closely with technical teams, stakeholders, and clients to identify business needs and translate them into AI-driven strategies and products. Their duties often include project management, resource allocation, ensuring successful delivery of AI projects, and staying up-to-date with the latest AI technologies and trends. By bridging the gap between business objectives and technical execution, they help organizations leverage AI to achieve better outcomes.

How does an AI Solutions Manager typically collaborate with cross-functional teams during a project?

AI Solutions Managers play a pivotal role in bridging the gap between technical teams and business stakeholders. They regularly coordinate with data scientists, engineers, product managers, and clients to ensure AI solutions align with organizational goals and customer needs. This involves translating business requirements into technical specifications, facilitating project timelines, and addressing challenges that may arise during development and deployment. Effective communication and the ability to manage diverse viewpoints are essential for success in this collaborative environment.

What is the difference between Ai Solutions Manager vs Data Scientist?

AspectAi Solutions ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI project managementDegree in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI solution deploymentAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI-focused firms, consultingResearch institutions, tech companies, finance, healthcare

The Ai Solutions Manager focuses on leading AI project implementation and managing teams, while Data Scientists primarily analyze data and develop AI models. Both roles require technical skills, but the manager role emphasizes project oversight and strategic deployment.

What are the key skills and qualifications needed to thrive as an AI Solutions Manager, and why are they important?

To thrive as an AI Solutions Manager, you need a strong background in computer science, data analytics, and project management, often supported by a relevant degree and experience in AI technologies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications like PMP or AWS Certified Machine Learning are highly valuable. Exceptional communication, leadership, and problem-solving skills are crucial for coordinating teams and translating business needs into technical solutions. These skills ensure the successful delivery of AI-driven projects that meet organizational objectives and drive innovation.
What are popular job titles related to Ai Solutions Manager jobs in Indiana? For Ai Solutions Manager jobs in Indiana, the most frequently searched job titles are:
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What cities in Indiana are hiring for Ai Solutions Manager jobs? Cities in Indiana with the most Ai Solutions Manager job openings:

Sr. Manager, Technical Architect - Enterprise AI Solutions

Canadian Solar

Jeffersonville, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 19 days ago


Canadian Solar rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

At Canadian Solar, our vision is to make lives better by bringing electricity powered by the sun to millions of people worldwide. As a leading manufacturer of solar panels, inverters, and energy storage solutions, we've been an industry front-runner since our founding in 2001. Our commitment to sustainability is reflected in all parts of our organization as we navigate the complexities of a booming industry.

Throughout Canadian Solar's subsidiaries, e-Storage, Recurrent Energy, MSS and CSI Solar Co., we invest in our employees' growth. Our training programs and promotional opportunities ensure we all can continue to learn. We understand the importance of work-life balance and provide various flexible work options to support our employees' well-being. Join our team to "Make the Difference" by creating a lasting positive impact on the world and the communities where we operate.

Canadian Solar Inc. is seeking a highly experienced and strategic AI leader to drive the design, architecture, and implementation of enterprise AI solutions across global business operations. This role leads the development of scalable AI platforms, enterprise copilots, automation frameworks, and advanced analytics capabilities supporting Sales, Manufacturing, Supply Chain, Engineering, Finance, Cybersecurity, and Corporate Functions.
The ideal candidate combines strong technical depth in AI/ML and enterprise architecture with hands-on experience delivering production-grade AI solutions within large-scale global organizations. This individual will serve as both a technical leader and strategic advisor, helping define the company's AI roadmap while partnering closely with business executives, IT leadership, and cross-functional teams.
This is a senior-level role based in North America with global responsibilities across Canadian Solar business units. Preference to have someone near an office hub.
  • Define and lead enterprise AI architecture standards, frameworks, and best practices
  • Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics
  • Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption
  • Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals
  • Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives
  • Architect and implement AI-powered copilots, knowledge assistants, and workflow automation solutions
  • Integrate AI capabilities into enterprise applications including Microsoft Dynamics 365, SAP S/4HANA, Salesforce, Service Platforms, and custom applications
  • Design scalable APIs, microservices, and AI orchestration frameworks
  • Lead implementation of enterprise GenAI solutions leveraging platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services
  • Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions
  • Build secure enterprise AI integrations with internal data platforms and business systems
  • Evaluate and optimize LLM performance, cost, governance, and scalability
  • Collaborate with data engineering teams to establish scalable AI/ML pipelines and data architectures
  • Design enterprise-grade MLOps and LLMOps capabilities including CI/CD, monitoring, observability, and model governance
  • Ensure reliability, scalability, security, and operational readiness of AI platforms
  • Support cloud-native AI deployments across Azure, AWS, and Google Cloud
  • Serve as technical lead and mentor for AI engineers, developers, and solution architects
  • Partner with business stakeholders across Manufacturing, Sales, Operations, Finance, and Supply Chain to translate business requirements into AI-enabled solutions
  • Drive vendor evaluations, proof-of-concepts, and strategic partnerships related to AI technologies
  • Communicate technical concepts effectively to both technical and executive audiences
  • Bachelor's or master's degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline
  • Advanced degree preferred
  • 8+ years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles
  • 3+ years of hands-on experience designing and deploying Generative AI / LLM-based enterprise solutions
  • Experience leading enterprise-scale AI transformation initiatives in global organizations
  • Strong experience with cloud-native architectures and enterprise integration platforms
  • Strong proficiency in Python and modern AI/ML frameworks
  • Experience with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, LangChain, Semantic Kernel, or equivalent AI ecosystems
  • Experience with vector databases, RAG architectures, AI orchestration frameworks, and prompt engineering
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
  • Strong understanding of enterprise API integration, microservices, and distributed architectures
  • Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices
  • Familiarity with enterprise security and AI governance requirements
  • Experience integrating AI solutions with SAP S/4HANA, Microsoft Dynamics 365, Power Platform, or similar enterprise platforms
  • Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms is preferred
  • Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, Global Supply Chain Operations preferred

Compensation & Benefits:

Canadian Solar Inc. offers a competitive salary plus fully comprehensive benefits and performance bonus package based on an annual objective achievement. Our generous benefits package includes a 401(k) Retirement Plan, medical/dental/life/disability program, PTO and sick days.

Canadian Solar Inc. is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

#CanadianSolar


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