The Role
Lead end-to-end development and delivery of production-grade generative AI applications, including RAG systems, conversational AI, and AI agents. Manage cross-functional AI and software engineering teams, define product roadmaps and delivery plans, oversee architecture and technology selection, and guide cloud infrastructure and MLOps practices. Communicate progress, risks, technical concepts, product demonstrations, and business outcomes to senior stakeholders while building and scaling high-performing teams.
Summary Generated by Built In
Role Overview
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.
Requirements
Key Responsibilities
GenAI/AI Program & Delivery Management
- 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
Team Leadership & Collaboration
- 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
Skills Required
- 8+ years of experience 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
- Strong understanding of LLMs, including GPT, Claude, and Llama
- Strong understanding of prompt engineering, RAG architectures, and AI agents
- Proficiency with LangChain, LlamaIndex, Hugging Face, and OpenAI or Azure OpenAI APIs
- Understanding of full-stack development, including Python, JavaScript or TypeScript, REST APIs, and microservices
- Familiarity with Azure, AWS, GCP, and MLOps tooling
- Excellent communication and stakeholder influence skills
- Strong product thinking focused on user experience and business outcomes
- Proven ability to build, mentor, and scale high-performing technical teams
- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or a related field
- AI/ML or Product Management certifications
- Prior hands-on experience as a software engineer, ML engineer, or data scientist
- Experience building AI products in regulated industries such as healthcare or finance
- Knowledge of agentic AI systems and multi-agent architectures
- Experience with Azure AI, AWS SageMaker, or Databricks
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The Company
What We Do
Truviq Systems is a Hyderabad-based technology and IT services company that helps enterprises modernize operations through intelligent automation, AI-driven decisioning, workflow orchestration, and digital transformation. Its capabilities include BPM and Pega consulting, enterprise architecture, software solutions, robotic process automation, DevOps, mobile development, and healthcare workflow automation spanning prior authorization, claims and appeals, and care management for US and European markets.
