Design, build, and implement AI solutions using modern MLOps and AI frameworks. Develop full-stack AI solutions and reusable frameworks. Collaborate with teams to accelerate AI solution delivery.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
AI Engineer (2 openings)
Full-Time
Location - Pittsburgh, PA
Mid-Level $130 to $150s/year, 15% @Target Bonus
High Level $150 to $170s/year, 18% @Target Bonus
Full time 3 days in office 2 days remote, Wednesday mandatory in office. (Relocation available)
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Looking for BUILDERS. List of Requirements and Use Cases to design, build and implement.
Key Tools: Amazon Bedrock, Foundation and Microsoft Co-Pilot (Should have good experience with at least 1.
Resume should show experience in building and implementing AI solutions and/or Business Outcome Solutions. At the core, what have you accomplished as a coder, architect, BUILDER. Should have programming experience, java, python, r, etc.
Required Experience
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
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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.
reated reusable frameworks, prompt templates, and reference architectures to accelerate AI solution delivery across teams.
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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
Candidates with 7+ 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 as well as 1 year of hands-on experience building and deploying generative AI solutions will be considered for an alternative role.
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.
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