Senior AI Engineer

As a key member of the AI CoE, you will lead end-to-end solution development, including architecture, development, integration, evaluation, deployment, governance, and operationalization of AI solutions. You will also help establish engineering best practices, reusable frameworks, and standards that accelerate AI adoption across the enterprise.

This role is ideal for a builder who enjoys ownership, technical leadership, and creating innovative solutions in a rapidly evolving AI landscape.

Key Responsibilities

• Lead the end-to-end delivery of AI and Generative AI solutions, taking ownership from business discovery and solution design through deployment and operational support.
• Work directly with business stakeholders to identify opportunities, define requirements, prioritize use cases, and translate business challenges into practical AI solutions.
• Design scalable solution architectures leveraging LLMs, RAG, AI agents, enterprise knowledge sources, APIs, workflow automation, and cloud services.
• Develop and deploy production-grade AI applications, services, and copilots using Python, Azure AI, Azure OpenAI, Snowflake, and related enterprise technologies.
• Drive technical decisions across AI projects, evaluating architecture options, implementation approaches, trade-offs, risks, and long-term maintainability.
• Establish and implement testing, evaluation, and monitoring practices to ensure AI solutions are accurate, reliable, secure, and production ready.
• Collaborate with architects, data engineers, platform teams, security teams, and business partners to successfully integrate AI capabilities into enterprise systems and processes.
• Build reusable frameworks, accelerators, templates, and engineering standards that improve delivery speed and enable scalable AI adoption across the organization.
• Provide technical leadership through architecture reviews, design guidance, code reviews, technical coaching, and sharing best practices across the AI CoE.

• Continuously evaluate emerging AI technologies and recommend innovative solutions that deliver measurable business value and strategic advantage

Minimum Qualifications:

• Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 4-6 years of relevant professional experience in AI, machine learning, data, or software engineering with min 1 year of hands-on experience designing, developing, and deploying AI, Machine Learning, or Generative AI solutions end-to-end.
• Strong Python development skills and experience with software engineering principles including modular design, API development, testing, version control, secure coding practices, system integration, and maintainable application architecture.
• Strong understanding of modern Gen AI architectures including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, evaluation frameworks, deterministic orchestration and AI solution architectures.
• Hands-on experience with AI application and orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, LlamaIndex, or equivalent technologies.
• Proven ability to operate in ambiguous environments, independently drive technical solutions, and lead initiatives from concept through production deployment

Preferred Qualifications:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot Studio, Snowflake Cortex AI, or other enterprise AI platforms.
• Experience designing and developing enterprise AI applications, copilots, intelligent assistants, automation solutions, or agent-based systems deployed to business users.
• Experience with CI/CD, DevOps, MLOps, and LLMOps practices for enterprise AI solution deployment and support.
• Experience with containerization and cloud-native development technologies such as Docker, Kubernetes, Azure Container Apps, or Azure Kubernetes Service (AKS).
• Experience building AI-enabled applications and services using frameworks such as FastAPI, Flask, Streamlit, React, Next.js, .NET, or equivalent application development frameworks.
• Demonstrated experience leading the technical delivery of complex software, AI, or automation projects involving multiple stakeholders, systems, and business functions.
• Familiarity with enterprise governance controls for GenAI (privacy, safety, auditability).
• Experience optimizing inference costs/latency and implementing observability for AI features.

Professional Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Capacity to thrive in agile, fast-paced environments.
• Collaborative approach and leadership potential.
• Commitment to continuous learning and skill development.
• Effective task prioritization and project management across multiple initiatives.

Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

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