Lead AI Engineer - Copilot & Agentic Development - R01563519

Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies to drive digital adoption. They are seeking a Senior AI Engineer to design, build, and operate AI-native software systems using the Microsoft Copilot ecosystem and agentic development patterns, focusing on creating high-quality AI-augmented solutions.

Responsibilities:

• Design, build, and productionize AI‑augmented and agentic software systems, with a strong focus on Microsoft Copilot suite across development and productivity workflows
• Use GitHub Copilot and modern IDE‑based “vibe coding” approaches to accelerate software delivery while maintaining production‑grade quality
• Develop multi‑step, tool‑using AI agents that can reason, plan, execute, and validate outcomes across real‑world systems
• Apply agentic software development patterns (task decomposition, memory, orchestration, feedback loops, guardrails)
• Integrate and evaluate multiple LLM providers, including Claude, selecting the right model based on reasoning depth, cost, latency, and safety
• Translate ambiguous business problems into well‑structured AI‑driven solutions with clear constraints and measurable outcomes
• Own solutions end‑to‑end: architecture, implementation, testing, deployment, monitoring, and iteration
• Produce concise technical documentation and explain design decisions clearly to architects, product owners, and executives
• Act as a technical multiplier for teams—setting standards, patterns, and best practices for AI‑assisted development

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline or equivalent practical experience
• 8+ years of professional software engineering experience, with direct ownership of production systems
• 3+ years working hands-on with AI-assisted development, LLM-driven systems, or intelligent automation
• Demonstrated experience operating in senior or lead engineer capacity, influencing design decisions beyond individual tasks
• Proven, real-world experience with the Microsoft Copilot suite, including using Copilot as part of daily engineering and productivity workflows
• Hands-on experience with GitHub Copilot used systematically for design, coding, refactoring, testing, and documentation—not occasional usage
• Practical experience working with Claude (and similar frontier models), including understanding strengths, limitations, and appropriate use cases
• Experience designing or implementing agentic systems, including multi-step reasoning and task decomposition
• Experience with tool-calling and execution orchestration
• Experience with state, memory, and context management
• Experience with human-in-the-loop and guardrail patterns
• Ability to reason about reliability, failure modes, retries, and validation of autonomous behaviors
• Strong proficiency in at least one modern programming language (e.g., Python, TypeScript, C#)
• Solid grounding in software design principles, APIs, version control, testing practices, and deployment pipelines
• Experience integrating AI components into real enterprise systems, not isolated prototypes
• Demonstrated ability to work with minimal direction, define technical paths forward, and make sound decisions independently
• Track record of owning outcomes end-to-end: problem framing, implementation, delivery, and iteration
• Excellent written and verbal communication skills
• Ability to explain complex AI and engineering concepts clearly and concretely to diverse audiences, including senior leadership
• Proven ability to document decisions, assumptions, and trade-offs succinctly
• Experience with enterprise security, identity, governance, or Responsible AI concepts
• Familiarity with Copilot customization, plugins, or extensions
• Experience coaching teams or setting AI engineering standards
• Background in architecture or technical leadership roles