Role OverviewThe AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.
Key Responsibilities - Design, create, and implement reusable AI frameworks, prompt templates, reference architecture, and reference architectures to accelerate AI solution delivery across teams.
- Lead the full stack end-to-end development of custom AI solutions leveraging knowledge of MLOps, context management, and CICD practices to orchestrate AI agents and technology (e.g., Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock, etc).
- Collaborate with cloud, data and security architecture teams to build secure, extensible solutions
Required Qualifications/Skills - 10 years of overall experience in software engineering, data science, or related technical roles, with strong proficiency in coding, business and system design, and production deployment.
- A minimum of 1-2 years of hands-on experience building and deploying systems, preferably generative AI solutions, in enterprise environments
- Bachelor's degree in Artificial Intelligence, Data Science, or related field or equivalent work experience
- Industry certification or eligibility preferred
- Proficient in backend development using AI algorithms. Python, Java, Shell, Linux or Node.js, MCP, APIs, knowledge graphs, vector databases, & data structures
- Demonstrated knowledge of MLOps, model lifecycle, and (CI/CD) practices.
- Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent, Snowflake Agents, Copilot Studio and AWS Bedrock.
- Created reusable frameworks, prompt templates, and reference architectures to accelerate AI solution delivery across teams.
- Knowledge of data query, analysis, and scanning tools and techniques
- Strong interpersonal, written and oral communication, and analytical skills
- Ability to manage multiple priorities, work independently, coordinate work assignments with management throughout the organization and reliably meet commitments
- Strong aptitude for technology and an ability to learn quickly
Locations: Pittsburgh, PA
