hyderabad telangana director ai Jobs – 236 Open Jobs Today

Associate Director, Generative AI
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Director - AI Engineering
Providence Global Center —Hyderabad, Telangana
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Engineering Director - AI COE Engineering and Program Management
Medtronic —Nanakramguda, Hyderabad, Telangana
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Reckitt —Hyderabad, Telangana
- Finance
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Director - AI Practice & Solutions, India
Oteemo, Inc —Hyderabad, Telangana
- Full-time
- Hybrid work
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Quick apply
Director - Product Management
Optum —Hyderabad, Telangana
- Full-time
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Digital Product Manager(AI / ML) - Associate Director
Amgen —Hyderabad, Telangana
- PMP
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Director, Centralized Study Support
Amgen —Hyderabad, Telangana
- Master's degree
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RealPage, Inc. —Ranga Reddy District, Telangana
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Associate Director AI Platform Architect – AWS
Novartis —Hyderabad, Telangana
- Full-time
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Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure)
Teradata —Hyderabad, Telangana
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Group AI Strategy Manager
Google —Hyderabad, Telangana
- Full-time
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Senior Director - Advanced Analytics Platforms
Novartis —Hyderabad, Telangana
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AI Startup jobs: High Performers!
Dizit LLC —Hyderabad, Telangana
- ₹2,00,000 - ₹3,60,000 a year
- Full-time
- Microsoft Office
- In-person
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- Paid time off
- Flexible schedule
Quick apply
Applied AI ML Director
JPMorganChase —Hyderabad, Telangana
- Full-time
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Associate Director AI Solutions Architect
Novartis —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree

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Associate Director, Generative AI

PepsiCo -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

CI/CD
Azure
Cloud architecture
Law
Doctoral degree
Computer Science
MCP
DevOps
Master's degree
AWS
Continuous integration
Data science
AI

Full job description

Overview:

As the Senior Manager of AI Engineering, you will lead the architectural vision and engineering execution for our Agentic AI ecosystem. You aren't just building agents; you are building the platform and the high-performing team that enables autonomous, multi-step problem solving at scale. You will bridge the gap between high-level business transformation and deep technical implementation, serving as a key strategic partner to executive leadership

Responsibilities:

Core Responsibilities

Strategic Leadership & Roadmap (35%)

Visionary Orchestration: Define the long-term technical strategy for "Agent-to-Agent" (A2A) communication and cross-domain AI workflows.
ROI & Unit Economics: Own the "Build vs. Buy" decisions. Balance model performance with latency and cost-per-token, ensuring AI initiatives deliver measurable business value.
Strategic Roadmap: Transform broad business transformation goals into a concrete, phased engineering roadmap leveraging GenAI and Agentic frameworks.
Engineering Excellence & Architecture (30%)

Architectural Governance: Oversee the design of scalable RAG pipelines, tool-calling protocols, and memory management systems.
Reliability & Evaluation: Establish "Production-Grade" standards. Implement rigorous evaluation frameworks (e.g., hallucination detection, faithfulness metrics) and automated testing for non-deterministic AI outputs.
Observability: Lead the integration of advanced monitoring to track agent reasoning traces, ensuring end-to-end transparency in autonomous decision-making.

3. People & Organizational Impact (25%)

Team Scaling: Recruit, mentor, and lead a high-performing squad of AI Engineers and potentially junior managers.Foster a culture of "Psychological Safety" for rapid experimentation.
Cross-Functional Influence: Act as the primary technical liaison for Data Science, Security, and IT. Translate complex agentic "reasoning chains" into clear business logic for non-technical stakeholders.
Vendor & Ecosystem Management: Manage relationships with foundation model providers (OpenAI, Anthropic, Google) and framework partners.
Innovation & Continuous Learning (10%)
- Frontier Research: Stay ahead of the curve in Model Context Protocol (MCP), small language models (SLMs) for edge agents, and new reasoning frameworks (e.g., ReAct, Reflexion).

Qualifications:

Education:

Master’s or PhD in Computer Science (AI/ML concentration) or equivalent experience.

Experience:

10+ years of total experience in Software/AI Engineering.
3+ years in a formal leadership/management role, ideally managing other leads or senior ICs.
Proven track record of taking Agentic AI or LLM-based applications into a high-scale production environment (not just internal tools).

Technical Mastery:

Frameworks: Mastery of LangGraph, CrewAI, AutoGen, or Haystack.
Orchestration: Deep understanding of workflow decomposition, tool-calling logic, and state management.
DevOps/AIOps: Experience with CI/CD for LLMs and vector database optimization (Pinecone, Weaviate, etc.).
Cloud: Professional-level architecture experience in AWS (Bedrock), Azure (OpenAI Service), or GCP (Vertex AI).

Soft Skills:

Executive Presence: Ability to present "Agentic ROI" to the C-suite.
Agility: Comfort with the 2-week "breakthrough cycle" of the current AI market.

Apply Now

Refine Your Search

director ai jobs in hyderabad telangana

Associate Director, Generative AI

Senior Director - AI Platforms

Associate Director, Architecture and Integration (AI)

Associate Director AI Platform Architect

Director, AI-Enabled Manufacturing Innovation (IVI)

Director - AI Engineering

Engineering Director - AI COE Engineering and Program Management

GBS Director IMPACT (Process & Ops Excellence)

Director - AI Practice & Solutions, India

Director - Product Management

Digital Product Manager(AI / ML) - Associate Director

Director, Centralized Study Support

Director I

Associate Director AI Platform Architect – AWS

Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure)

Group AI Strategy Manager

Senior Director - Advanced Analytics Platforms

AI Startup jobs: High Performers!

Applied AI ML Director

Associate Director AI Solutions Architect

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