AI Engineer

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AI Summary

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
2 openings available
Full-time position with 3 days in office and 2 days remote
Relocation assistance available
Key Responsibilities
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
Technical Skills Required
Amazon Bedrock Foundation Microsoft Co-Pilot Python Java R Linux Node.js MCP APIs Knowledge graphs Vector databases Data structures MLOps Model lifecycle CI/CD
Benefits & Perks
$130-$150k annual salary
15%-18% target bonus
Relocation assistance
Flexible work arrangement
Nice to Have
Knowledge of Bank business applications
Knowledge of data query, analysis, and scanning tools and techniques

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)

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

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.

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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