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 concepts.

· Familiarity with  Copilot customization, plugins, or extensions .

· Experience coaching teams or setting AI engineering standards.

· Background in architecture or technical leadership roles.

Required Qualifications

· Education

o Bachelor’s degree in Computer Science, Engineering, or a related technical discipline  or equivalent practical experience .

o Advanced degrees are welcome but  not required if hands‑on experience is strong.

· Professional Experience

o 8+ years of professional software engineering experience, with direct ownership of production systems.

o 3+ years working hands‑on with AI‑assisted development, LLM‑driven systems, or intelligent automation.

o Demonstrated experience operating in  senior or lead engineer capacity , influencing design decisions beyond individual tasks.

· AI & Copilot Expertise

o Proven, real‑world experience with the  Microsoft Copilot suite , including using Copilot as part of daily engineering and productivity workflows.

o Hands‑on experience with  GitHub Copilot used systematically for design, coding, refactoring, testing, and documentation—not occasional usage.

o Practical experience working with  Claude (and similar frontier models), including understanding strengths, limitations, and appropriate use cases.

· Agentic Software Development

o Experience designing or implementing  agentic systems , including: 

§ Multi‑step reasoning and task decomposition

§ Tool‑calling and execution orchestration

§ State, memory, and context management

§ Human‑in‑the‑loop and guardrail patterns

o Ability to reason about reliability, failure modes, retries, and validation of autonomous behaviors.

· Software Engineering Fundamentals

o Strong proficiency in at least one modern programming language (e.g.,  Python, TypeScript, C#).

o Solid grounding in software design principles, APIs, version control, testing practices, and deployment pipelines.

o Experience integrating AI components into  real enterprise systems , not isolated prototypes.

· Autonomy & Execution

o Demonstrated ability to work with  minimal direction , define technical paths forward, and make sound decisions independently.

o Track record of owning outcomes end‑to‑end: problem framing, implementation, delivery, and iteration.

· Communication

o Excellent written and verbal communication skills.

o Ability to explain complex AI and engineering concepts  clearly and concretely to diverse audiences, including senior leadership.

o Proven ability to document decisions, assumptions, and trade‑offs succinctly.

#LSRI

$140,000 - $150,000 a year

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