Lead AI Architect ( Agentic SDLC )
Orion Innovation7 days ago
Responsibilities
- Build coding agents that perform multi-step engineering tasks against real repositories.
- Design agentic workflows connecting issue trackers, repositories, developer environments, CI/CD pipelines, documentation, and observability tools.
- Engineer context management, tool integrations, orchestration, isolated execution environments, state persistence, retries, and recovery mechanisms.
- Use Codex, Cursor, and Claude Code to prototype, implement, debug, and refine agentic systems.
- Create prototypes, reusable integrations, reference architectures, automations, and production-ready implementations.
- Develop benchmarks and evaluation harnesses for quality, productivity, correctness, regressions, security findings, latency, cost, and engineering effort.
- Implement scoped permissions, secrets handling, audit trails, sandboxing, and human-review controls.
- Lead technical discovery, hands-on workshops, and adoption from experimentation through production rollout.
- Translate deployment experience into product requirements, model feedback, technical guides, and reusable engineering patterns.
Requirements
- 5+ years of experience in software engineering, applied AI, developer tooling, platform engineering, or technically intensive solutions engineering.
- Strong programming skills in Python, TypeScript, or another widely used language, with confidence navigating unfamiliar codebases.
- Deep practical experience with AI coding tools and examples of workflows, integrations, or agents built and used.
- Hands-on experience building LLM applications with tool calling, structured outputs, context retrieval, and iterative execution.
- Strong understanding of software engineering fundamentals, including architecture, Git, automated testing, code review, CI/CD, debugging, and production operations.
- Ability to evaluate generated code and diagnose failures across models, prompts, context, tools, and execution environments.
- Clear written and verbal communication, including the ability to explain architectural tradeoffs and lead hands-on technical sessions.
- Experience building agents for multi-step engineering tasks, agent evaluation frameworks, repository context systems, custom tools, MCP integrations, or orchestration infrastructure is valued.
- Experience integrating coding agents into enterprise environments with security and operational requirements is valued.
- Developer tools, open-source contributions, technical guides, reference implementations, measurable engineering improvements, and strong product judgment are valued.
Tech Stack
Categories
About Orion Innovation
Orion Innovation provides software engineering and consulting services focused on digital transformation, product development, data and AI, cloud, and digital experience for enterprise clients. It delivers projects across industries including financial services, telecommunications and media, consumer products, automotive, industrial automation, sports and entertainment, life sciences, ecommerce, and education. Headquartered in Iselin, New Jersey, the company is privately held and backed by One Equity Partners.