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About the Role

This role is for a Staff Engineer, AI & Engineering who will bridge deep software engineering expertise with practical AI implementation. You will partner closely with Engineering, Product, Data, and Technology leaders to design and deliver modern, resilient, and intelligent solutions. This is a hands-on role requiring strong technical depth, architectural thinking, and the ability to influence engineering direction across multiple teams.

Responsibilities

Play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.
Design, develop, and deploy AI-powered applications and workflows.
Write production-quality code for backend services, APIs, AI orchestration layers, agents, and enterprise integrations.
Rapidly prototype solutions and iterate them into scalable production systems.
Own delivery end-to-end: build, test, deploy, monitor, and improve.
Translate use cases into clear, implementable system designs.
Make architecture decisions balancing speed of delivery, scalability, reliability, cost, and operational efficiency.
Define patterns for API-first integrations, AI orchestration, workflows, and reusable services/components.
Ensure systems are simple enough to build quickly but structured enough to scale.
Embed LLM capabilities into products, internal tools, and business processes.
Build and maintain APIs and system integrations.
Implement agent workflows and orchestration logic that solve real operational problems.
Optimize systems for performance, resilience, and cost efficiency.
Work directly with stakeholders to understand problems and validate solutions.
Translate requirements into working software quickly.
Iterate based on feedback and usage to drive measurable impact.
Build and contribute to shared libraries, templates, and services.
Establish practical patterns based on real implementations.
Help evolve internal platforms through code and working solutions.
Implement secure and reliable AI solutions, including prompt safety, validation, injection/misuse prevention, observability, and traceability.
Align implementations with enterprise security, privacy, and compliance requirements.

Requirements

8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms.
Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations.
Strong engineering fundamentals with the ability to influence technical direction across teams and organizations.
Deep expertise in designing scalable, resilient, and maintainable software architectures.
Experience making trade-offs across delivery speed vs scalability and simplicity vs flexibility.
Ability to move fluidly between coding and design thinking.
3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments.
Strong understanding of prompt design and evaluation.
Strong understanding of agent-based workflows and orchestration.
Strong understanding of integrating AI into production systems.
Ability to debug, tune, and improve AI behavior in code.

Skills

AI
Machine Learning
Software Engineering
Architecture
Platform Development
System Design
Software Delivery
API-first integrations
Event-driven architecture
Modular services
AI application engineering
Orchestration
Agent workflows
Enterprise integrations
Prompt design
Prompt evaluation
Generative AI
LLM capabilities
Prompt safety
Prompt validation
Injection prevention
Misuse prevention
Observability
Traceability

Experience Level

8+ years of software engineering experience
3+ years of hands-on AI/GenAI experience

About the Company

Microsoft ecosystem (Azure)
Claude and other enterprise-approved LLMs
API-first, event-driven, and modular services architecture style