OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified AI Engineer to join our client’s organization and contribute to their ongoing success.

Job summary

The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.

Responsibilities:

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.
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 overall AI technology capabilities.
Provide guidance on feasibility, risks and expected business impacts of AI initiatives.
Draft clear documentation for AI models, data flows, AI solutions, APIs and operational procedures.

Requirements:

Experience in software engineering, data science, or related technical roles, with strong proficiency in coding, business and system design, and production deployment.
Experience building and deploying generative AI solutions in enterprise environments
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

At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities.

As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package.

OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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