You'll design cloud-native architectures , build RAG workflows , and integrate structured/unstructured data to deliver secure, scalable AI solutions . Using tools like Promptflow, LangChain, Azure AI Search, and Vector DBs , you'll create agentic AI frameworks , optimize performance, and ensure ethical compliance. You will collaborate and guide Solution Architects to align AI strategies with business goals, ensuring performance, security, and scalability while integrating structured and unstructured data into analytics platforms.

As a technical leader , you'll mentor engineers, influence enterprise AI strategy, and foster a culture of innovation and continuous learning . This role offers the chance to drive impactful AI initiatives , collaborate across teams, and stay ahead of industry trends.

What You'll Do

• Lead the strategy, design, architecture, and implementation of scalable Generative AI solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4), multi-modal models, and open-source frameworks within Azure Microsoft Infrastructure.
• Develop robust data integration pipelines and RAG workflows using tools like Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, and Semantic Kernel.
• Design and implement robust test automation strategies within CI/CD pipelines, define observability metrics using Azure Application Insights and Dynatrace, and support production deployments with detailed documentation and risk mitigation.
• Collaborate with Solution Architects to ensure successful delivery of enterprise initiatives such as application security, API development, architecture, and test automation.
• Act as a subject matter expert in tools and technologies, lead internal learning forums, set strategic objectives, and drive the adoption of innovative methods.

What We're Looking For

Education

• Minimum Education Required to Perform Essential Job Functions:
• 4-Year / bachelor's degree,preferably in Computer Science, Data Science, Artificial Intelligence, or equivalent experience
• 8+ years in AI engineering with deep expertise in GenAI and cloud architectures .
• Advanced skills in Python, .NET, C# , and tools like LangChain, Hugging Face .
• Strong knowledge of LLMs, multi-modal models , and CI/CD automation .
• Proven leadership in AI strategy, mentoring, and enterprise-scale delivery .
• Expert-level proficiency in Python, .NET, and C# programming for AI applications
• Advanced expertise with GenAI tools (Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, Semantic Kernel)
• Deep knowledge of leading LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models
• Experience with cloud-native architectures, Kubernetes, Terraform, and API development
• Strong understanding of CI/CD pipelines, automated testing, and test automation strategies
• Expertise in ethical AI practices (bias detection, hallucination analysis, performance benchmarking)
• Exceptional leadership, mentorship, and strategic communication skills
• Strategic mindset for driving innovation, aligning AI strategies with business goals, and influencing enterprise-wide initiatives

Why Join Us?

• Work on state-of-the-art AI technologies shaping the future of business.
• Influence enterprise-wide AI strategy and innovation.
• Collaborate with top talent in a dynamic, growth-oriented environment.

Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset.

The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

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