Lead AI Engineer - Copilot & Agentic Development - R01563519
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Architect
Primary Skills
- Azure API Management, Solution Architecture - Azure, Azure DevOps, Azure Storage Queues, Azure PaaS Services, Azure Networking, Azure Logic Apps, Azure Content Delivery Network, Azure App Service, Azure SQL, Azure AD, Azure Virtual Machines
Specialization
- Azure Architecture: Architect
Job requirements
Senior AI Engineer – Copilot & Agentic Development
Location: Dearfield Beach, FL
Work Type: Hybrid (2 days' work from office per week)
Role Summary
We are seeking a Senior AI Engineer who can independently design, build, and operate AI‑native software systems using the Microsoft Copilot ecosystem and modern agentic development patterns.
This role is ideal for someone who is highly autonomous, comfortable operating with minimal supervision, and capable of communicating clearly with both technical and non‑technical stakeholders. You will be responsible not only for writing code, but for shaping how software is built using AI‑assisted and agent‑driven workflows.
Key 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.
Required Experience & Skills
Core Technical
- Senior‑level software engineering experience (typically 8+ years), including designing and delivering production systems.
- Strong hands‑on experience with the Microsoft Copilot ecosystem (e.g., Microsoft 365 Copilot, Copilot Studio, developer copilots).
- Extensive use of GitHub Copilot as a first‑class development tool—not as an experiment, but as part of daily engineering workflows.
- Practical experience with Claude and other leading LLMs, including prompt design, tool use, and structured outputs.
- Proven experience building or operating agentic systems (multi‑step reasoning, autonomous execution, human‑in‑the‑loop).
- Strong programming skills in at least one modern language (e.g., Python, TypeScript, C#), with solid software design fundamentals.
- Experience integrating AI solutions into real systems (APIs, data sources, enterprise platforms).
Engineering Approach
- Demonstrated use of IDE‑driven, AI‑assisted “vibe coding” techniques to move fast without sacrificing clarity, safety, or maintainability.
- Strong understanding of testing strategies and validation for AI‑assisted code and agents.
- Ability to reason about reliability, failure modes, security, and cost in AI‑heavy systems.
Autonomy & Communication
- Extremely self‑directed—able to define next steps, unblock yourself, and make sound technical decisions without constant oversight.
- Excellent written and verbal communication skills.
- Comfortable explaining complex AI concepts in plain, concrete language to senior stakeholders.
- Able to challenge assumptions respectfully and propose better alternatives when needed.
Nice to Have
- Experience with enterprise security, identity, governance, or Responsible AI concep