AI Engineer

• Design and implement enterprise-grade AI agent solutions using existing LLM platforms without building foundational models.
• Build scalable workflows for document ingestion, RAG, tool integration, and output validation.
• Develop production-ready Python services and APIs embedded in engineering and product delivery workflows.
• Leverage AI-assisted development tools to accelerate solution design and delivery.
• Define measurable outcomes, including efficiency gains, cost reduction, and adoption metrics.
• Collaborate with stakeholders to translate business problems into pragmatic AI solutions.

We are seeking a Senior AI Engineer to join our dynamic team. The ideal candidate will have strong experience in AI agent design, LLM integration, Python engineering, Teradata, and cloud-native architectures and a proven ability to deliver production-grade agentic workflows that automate document ingestion, orchestrate tasks, and improve operational efficiency across risk, finance, and governance., * 5-8+ years in software engineering, AI solution engineering, or applied data workflows.

• Proven experience building AI agents or agentic workflows with existing LLMs, including task orchestration, tool use, memory, and workflow chaining.
• Hands-on experience with AI-assisted development tooling such as GitHub Copilot or Copilot Studio.
• Strong understanding of RAG patterns, document ingestion, and unstructured data processing.
• Experience designing end-to-end AI workflows, including prompting, retrieval, tool integration, and output validation.
• Proficiency in prompt engineering, grounding, and guardrails for reliability and control.
• Strong Python engineering skills and experience delivering production-grade services and APIs.
• Experience with cloud-native architectures and enterprise integration.
• Ability to define and measure outcomes and adoption metrics.
• Strong stakeholder engagement and translation of business needs into AI solutions.
• Proficiency with Teradata and Python.

Preferred Skills:

• Experience designing multi-agent or orchestrated agent systems for enterprise workflows.
• Experience building interactive copilots or embedded AI assistants within engineering or operational tools.
• Familiarity with agent evaluation, human-in-the-loop validation, and iterative improvement loops.
• Experience applying AI to workflow automation and service delivery transformation.
• Knowledge of Responsible AI, governance, and enterprise risk considerations.
• Track record of driving AI adoption in product-centric, outcome-driven environments.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.