Principal AI Agentic Engineer

Job Overview

The Principal AI Agentic Engineer is a senior production builder responsible for designing, implementing, testing, and operating enterprise‑grade agentic systems that solve real business problems s role sits at the center of the Forge delivery model, translating approved architecture patterns into production workflows that combine prompts, tools, APIs, memory, retrieval, orchestration logic, and human oversight into working enterprise capabilities. The engineer works across platforms and frameworks used to deliver production AI capabilities, including Microsoft and Azure‑based agent platforms, enterprise workflow tooling, and other approved agentic engineering stacks where needed.

• Design, build, and deploy production‑ready AI agents and agentic workflows that combine prompts, tools, APIs, memory, retrieval, and business logic into useful enterprise capabilities.
• Implement single‑agent and multi‑agent workflows using approved Forge patterns, including tool orchestration, supervisor‑worker patterns, human‑in‑the‑loop controls, session‑aware execution, and safe fallback behaviors.
• Translate architecture and product intent into robust implementations that are observable, testable, secure, and maintainable in enterprise production environments.
• Build and maintain integrations to enterprise systems, APIs, workflow services, and governed data sources that enable agents to act safely and effectively within approved boundaries.
• Design and maintain prompt architectures, tool schemas, retrieval logic, memory behavior, and structured execution controls that improve agent accuracy, reliability, and explainability.
• Contribute to RAG, grounding, and knowledge‑retrieval patterns using search, vector stores, document pipelines, and governed enterprise data services.
• Implement runtime controls for resilience and safety, including error handling, retries, tool constraints, structured outputs, human escalation, and observable execution behavior.
• Support evaluation and regression validation for agentic solutions, including prompt changes, model changes, workflow changes, and quality benchmarks tied to business outcomes.
• Use approved engineering acceleration tools to speed code generation, testing, refactoring, and documentation while remaining accountable for production quality and correctness.
• Write and maintain automated tests, integration validations, deployment‑readiness checks, and runbooks for agent‑enabled solutions and their supporting services.
• Partner with architecture, security, QA, product, data, platform, and enablement teams to move AI capabilities from design into reliable production delivery.
• Contribute reusable engineering patterns, reference implementations, and technical guidance that raise delivery quality and speed across the broader Forge engineering organization.

Required Qualifications

• Bachelor’s degree in Information Systems‑related field, or equivalent education and related training.
• Minimum of five years of experience in leading‑edge, complex, state‑of‑the‑art technologies and/or techniques with additional experience within software development.
• Recognized in the industry for their experience and knowledge. May obtain the knowledge through more intense experience, such as working in a technology development company.
• Strong business and financial acumen and effective communication skills.
• Ability to establish strong relationships within the technical community.
• Ability to serve as a visionary concerning future technological capabilities and operational scenarios; ability to create new business models and technologies.
• Ability to create, manage and drive change.
• Ability to unify activities within the technology community, coordinating with other businesses and engineering organizations, as needed.

Additional Requirements

• 5+ years of software engineering experience, including strong hands‑on experience building and supporting production systems in enterprise environments.
• Strong programming ability in Python and working knowledge of Type Script, JavaScript, or another modern language commonly used in enterprise engineering stacks.
• Demonstrated…