What are the responsibilities and job description for the AI Engineer position at e&e IT Consulting Services, Inc.?
e&e is seeking a Senior AI Engineer for a hybrid contract opportunity in Harrisburg, PA!
We are seeking a Senior AI Engineer to lead the architecture, implementation, administration, and advancement of enterprise AI solutions across a multi-cloud environment. This role will work with Microsoft, AWS, Google Cloud, and open-source/foundation-model technologies to develop secure, scalable AI solutions, intelligent automation, and AI-enabled business processes.
Key Responsibilities
- Architect, implement, administer, and optimize enterprise AI platforms across Microsoft, AWS, Google Cloud, and other AI ecosystems.
- Design AI-enabled workflows, automation solutions, conversational agents, and intelligent business applications.
- Work with technologies such as Microsoft Copilot, Copilot Studio, Foundry, Power Platform, AWS Bedrock, SageMaker, and Google Vertex AI.
- Integrate AI platforms with enterprise applications, APIs, cloud services, automation tools, and third-party solutions.
- Establish AI architecture standards, governance practices, security controls, and development/lifecycle processes.
- Design information protection, data classification, retention, authentication, and access-control solutions for AI environments.
- Evaluate emerging AI technologies, foundation models, agents, and model providers to identify opportunities for enterprise adoption.
- Partner with business and technical stakeholders to translate operational needs into scalable AI solutions.
- Provide senior-level technical guidance, troubleshooting, and knowledge sharing across IT teams.
Qualifications
- Strong experience engineering, administering, or architecting enterprise AI platforms.
- Hands-on experience with Microsoft Copilot/Foundry/Power Platform, AWS Bedrock/SageMaker, Google Vertex AI, or comparable technologies.
- Experience with generative AI, foundation models, LLMs, AI agents, and enterprise AI integration.
- Strong background in workflow automation, APIs, scripting, and cloud-based solution development.
- Knowledge of AI governance, information protection, security, identity, authentication, and access management.
- Experience with APIs and serverless technologies such as Microsoft Graph API, Azure Functions, AWS Lambda, or similar tools.
- Familiarity with model providers and technologies such as OpenAI, Anthropic, Meta Llama, or comparable foundation models.
- Ability to independently design complex technical solutions and communicate effectively with both technical and business stakeholders.
Preferred Experience
Experience with Copilot Studio, Amazon Bedrock Agents, low-code automation architecture, Dataverse or comparable data platforms, multi-cloud AI integration, and enterprise AI governance is highly desirable.