
8+ years in AI/ML solution delivery with expertise in GenAI, LLMs, RAG architectures, AI Agents, and enterprise AI integrations
Lead enterprise-scale AI/ML/GenAI programs, design AI architectures, implement RAG and AI Agent solutions, integrate AI with ERP/CRM/BI tools, ensure AI governance and security, drive MLOps/LLMOps, and manage scalable deployments
Job Title : AI / GenAI Delivery Manager
Job Description:
We are looking for an experienced AI / GenAI Delivery Manager to lead enterprise-scale AI initiatives involving GenAI, LLMs, RAG architectures, AI Agents, and enterprise AI integrations. The ideal candidate should have hands-on experience delivering AI solutions end-to-end, managing enterprise deployments, and driving AI-enabled engineering workflows.
Key Responsibilities :
- Lead delivery of AI / ML / GenAI programs across enterprise environments
- Design and oversee end-to-end AI solution architectures
- Drive implementation of RAG-based and AI Agent solutions
- Work closely with engineering, business, and product teams
- Integrate AI systems with ERP, CRM, BI tools, APIs, and enterprise applications
- Ensure AI governance, security, role-based access, and compliance controls
- Drive MLOps / LLMOps practices including CI/CD and deployment automation
- Manage scalable AI deployments for enterprise users
- Collaborate with stakeholders to define AI strategy and roadmap
- Monitor AI solution performance, scalability, and optimization
Required Skills :
- Strong experience in GenAI / LLM-based solution delivery
- Good understanding of AI lifecycle and enterprise AI architecture
Hands-on exposure to :
1. RAG architectures
2. AI Agents / MCP
3. Vector databases
4. APIs & integrations
5. AI governance & security
6. LLMOps / MLOps
- Experience with GitHub, CI/CD, and AI-assisted engineering workflows
- Strong stakeholder management and communication skills
- Ability to manage cross-functional technical teams
Preferred Technologies:
- OpenAI / Azure OpenAI
- LangChain / LlamaIndex
- Python
- Azure / AWS / GCP
- Kubernetes / Docker
- Power BI / Analytics platforms
- Vector Databases
Preferred Candidate Profile :
- 8+ years of experience in AI/ML, enterprise applications, or solution delivery
- Experience delivering enterprise AI solutions at scale
- Strong architectural and problem-solving capabilities
- Exposure to enterprise integrations and cloud-native environments
- Client-facing and delivery management experience preferred
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