AI Engineer - Generative AI and Agentic Business Solutions
Relocation
AI Summary
Design, build, and deploy production-grade generative AI and agentic business solutions. Collaborate with stakeholders to understand current state processes and workflows. Lead full-stack end-to-end development of custom AI solutions.
Key Highlights
Design, build, and deploy production-grade generative AI and agentic business solutions
Collaborate with stakeholders to understand current state processes and workflows
Lead full-stack end-to-end development of custom AI solutions
Technical Skills Required
Job Description
Position Summary
The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.
Primary Success Factors
- Advance the organization’s AI strategy with a strong emphasis on identifying high- value opportunities, defining technical roadmaps, prioritizing use cases, and advocating for responsible, extensible and scalable IA adoption across the Bank.
- Collaborate with business and IT stakeholders to deeply understand current state processes and workflows in order to deliver AI powered solutions that deliver high-impact solutions driving measurable operational efficiency and transformation.
- 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).
- Design, create, and implement reusable AI frameworks, prompt templates, reference architecture, and reference architectures to accelerate AI solution delivery across teams.
- Support the model evaluation, testing, and certification process: red-teaming, bias/fairness testing, accuracy benchmarking, hallucination detection, content safety filtering, and production readiness sign-off in regulated environments.
- Establish and enforce responsible AI governance practices, including aligning to the NIST AI Risk Management Framework.
- Collaborate with cloud, data and security architecture teams to build secure, extensible solutions
- Stay current with the latest capabilities in current and emerging AI agentic technology and frameworks.
- Experiment with alternative AI models and enhance the Bank’s overall AI technology capabilities.
- Provide guidance on feasibility, risks and expected business impacts of AI initiatives.
- Evaluate third party application’s AI capabilities to ensure the usage is aligned with the Bank’s risk appetite.
- Draft clear documentation for AI models, data flows, AI solutions, APIs and operational procedures.
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- 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 generative AI solutions in enterprise environments
- Bachelor’s degree in Artificial Intelligence, Data Science, or related field or an equivalent combination of education and 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 Bank business applications is a plus
- 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
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
The Bank operates in a hybrid work environment and requires employees to be in the Pittsburgh office at least three days per week. We welcome applicants from outside the Pittsburgh area and may offer relocation assistance to candidates who are able to relocate within 90 days of their start date.
It is the policy of the Federal Home Loan Bank of Pittsburgh to ensure equal employment opportunity (EEO) for all employees and applicants for employment without regard to race, religion, color, sex, national origin, age, disability status, genetic information, veteran's status, ancestry, sexual orientation or status as a parent as defined by applicable law. It is the Bank's policy to comply with applicable laws concerning the employment of persons with disabilities, including reasonable accommodation for applicants and employees with disabilities.
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