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.
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
· Bachelor’s degree in Computer Science, Engineering, or a related technical discipline or
equivalent practical experience .
· Advanced degrees are welcome but
not required
if hands on experience is strong.
Professional 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.
AI & Copilot Expertise
· 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.
Agentic Software Development
· 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
· Ability to reason about reliability, failure modes, retries, and validation of autonomous behaviors.
Software Engineering Fundamentals
· 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.
Autonomy & Execution
· 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.
Communication
· 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.
Preferred / Additional Qualifications
· Experience with
Copilot extensibility , customization, plugins, or Copilot Studio.
· Familiarity with
Responsible AI, governance, security, or compliance considerations
in enterprise environments.
· Experience defining or scaling
AI assisted engineering standards
across teams.
· Background in architecture, platform engineering, or technical leadership roles.
· Prior experience mentoring senior to mid-level engineers or influencing organization wide engineering practices.