AI Architect

About the Role

We are seeking an experienced GenAI Applications Development Manager to lead end-to-end development and delivery of Generative AI products. This role bridges AI architecture, product development, and engineering execution. You will collaborate with AI Architects, Solution Architects, AI/ML Engineers, Prompt Engineers, and Full Stack Developers to build production-ready, scalable AI applications.

Responsibilities

• Lead full lifecycle of GenAI application development: ideation, architecture, development, testing, deployment, and optimization
• Partner with AI Architects and Solution Architects to translate business requirements into scalable GenAI solutions
• Define product roadmaps, sprint plans, milestones, and delivery timelines for GenAI initiatives
• Oversee development of LLM-powered applications including RAG systems, conversational AI, and AI agents
• Drive agile delivery with iterative development cycles and rapid prototyping.

Technology Leadership & Delivery

• Lead cross-functional teams: AI/ML Engineers, Prompt Engineers, Full Stack Developers, DevOps/MLOps Engineers, and QA Engineers
• Collaborate with AI Architects on system design, model selection, and integration patterns
• Foster innovation, experimentation, and continuous learning in AI/ML technologies
• Build and scale high-performing AI development teams; drive hiring and capability development

GenAI Technology & Platform Oversight

• Guide selection and implementation of LLMs, embedding models, and AI frameworks
• Oversee prompt engineering strategies, RAG architectures, and vector database implementations
• Manage AI/ML infrastructure: cloud platforms (Azure, AWS, GCP), GPU resources, and model serving
• Drive MLOps practices: CI/CD pipelines, model versioning, monitoring, and observability

Stakeholder Communication & Reporting

• Communicate project progress, risks, and outcomes to senior leadership
• Translate complex AI/ML concepts into business-focused language for executive audiences
• Present product demos, technical architectures, and ROI analyses to stakeholders

Required Skills & Qualifications

Experience

• 8+ years in software development, AI/ML, or technology product management
• 4+ years leading AI/ML or GenAI development teams and programs
• Proven track record delivering production-grade AI applications

Technical Knowledge

• Strong understanding of LLMs (GPT, Claude, Llama), prompt engineering, RAG architectures, and AI agents
• Proficiency in AI/ML platforms: LangChain, LlamaIndex, Hugging Face, OpenAI/Azure OpenAI APIs
• Understanding of full stack development: Python, JavaScript/TypeScript, REST APIs, microservices
• Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tooling

Leadership & Soft Skills

• Excellent communication skills; ability to influence technical and business stakeholders
• Strong product thinking with focus on user experience and business outcomes
• Proven ability to build, mentor, and scale high-performing technical teams

Education

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or related field
• AI/ML or Product Management certifications are a plus

Nice to Have

• Prior hands-on experience as a software engineer, ML engineer, or data scientist
• Experience building AI products in regulated industries (healthcare, finance)
• Knowledge of agentic AI systems and multi-agent architectures
• Experience with enterprise AI platforms (Azure AI, AWS SageMaker, Databricks)

What This Role Offers

• Lead cutting-edge GenAI product development with high visibility to senior leadership
• Ownership of innovative AI products from inception to production
• Work with talented AI architects, engineers, and domain experts
• Continuous learning and growth in the rapidly evolving GenAI space