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Req ID 341180 NTT DATA strives to hire exceptional innovative and passionate individuals who want to grow with us If you want to be part of an inclusive adaptable and forward-thinking organization apply now We are currently seeking a Director Senior Engineering Manager AI Innovation Factory India to join our team in Bangalore Karn taka IN-KA India IN Role Overview This role leads the India hub of our AI Innovation Demo Factory with day-to-day technical and administrative oversight The leader partners closely with the Global AI Innovation Factory leader USA on escalations and portfolio management and serves as our eyes on the ground in India They balance hands-on credibility with organizational scale coaching managers and senior ICs across Generative Agentic AI enterprise data cloud and DevOps MLOps and collaborate across US UK EU APAC Middle East time zones Department Reports to Location AI Innovation Demo Factory Global AI Innovation Factory Leader USA India Bengaluru Hyderabad Pune hybrid remote Team Scope 30-40 FTEs Mgrs SAs SW Eng Data ML Eng MLOps DevOps Agent Prompt Eng QA Purpose Provide on-the-ground technical leadership for the India AI Innovation Factory while partnering with the Global leader on escalations and portfolio direction Ensure consistent high-quality delivery of cross-industry Generative Agentic AI solutions and convert emerging tech into repeatable client value Key Responsibilities Primary 70 o Technical Oversight Governance establish reference architectures for GenAI agentic systems tool function calling RAG orchestration SDLC DevOps MLOps cloud data security and component reuse serve as the on-the-ground technical steward in India and partner with the Global AI Innovation Factory leader on technical escalations and standards o Portfolio Delivery Leadership in partnership with the Global AI Innovation Factory leader plan and track a multi-client portfolio drive on-time high-quality releases unblock teams maintain a backlog aligned to global roadmaps o People Leadership 30-40 hire level and coach managers tech leads define career paths manage utilization bench plans run a learning cadence o Executive Stakeholder Engagement present roadmaps solution options to senior clients and internal executives translate technical detail into business outcomes influence decisions across regions o Cross-Region Collaboration coordinate standards and follow-the-sun delivery with US UK EU APAC Middle East ensure robust handoffs and incident procedures o Major Program Engagement for flagship initiatives e g Sugoi AI maintain a working knowledge of scope status and risks across 2-3 concurrent initiatives and participate in occasional client-facing interactions e g steerco workshops in partnership with the Global leader Secondary 30 o Administrative Operational Excellence collaborate closely with the India Program Manager who owns budget and forecast on forecasting vendor management compliance delivery KPIs and staffing plans o AI Innovation Factory Best Practices Integration integrate AIF standards reference architectures and accelerators into local delivery collaborate with the central Practice team that owns overall practice development o Risk Quality Management proactively manage delivery security privacy and regulatory risks run design architecture reviews and go no-go checks Required Qualifications o 12-18 years in software consulting with 5 years leading 25 engineers multi-team or program scale o Proven delivery of cross-industry solutions combining enterprise data cloud DevOps MLOps and Generative Agentic AI not research-only roles o Prior hands-on engineering background e g Python Java C with ability to dive deep as needed without day-to-day coding Technical Competencies Weighted Skill Area Proficiency What Good Looks Like Generative Agentic AI Advanced Enterprise Architecture Advanced Shipped agentic systems tool use planning orchestration RAG pipelines evaluation guardrails platform fluency Multi-team planning estimation roadmapping cross-region coordination PoC productization Integrates AI with identity data platforms APIs events observability CI CD sets NFRs SLA SLO cost resiliency Cloud Data Foundations DevOps MLOps Software Delivery at Scale Advanced Advanced Advanced Azure AWS GCP data governance lineage security PII controls pragmatic build vs buy IaC testing strategies for AI apps model agent evaluation monitoring incident rollback playbooks Leadership Behavioral Competencies o People leadership at scale org design for 30-40 coaching managers performance and succession systems o Executive communication C-suite-ready narratives explicit trade-offs cross-cultural facilitation o Consulting mindset value cases scope control stakeholder alignment o Bias for pragmatism incremental delivery maintainable patterns over novelty o Ownership autonomy independent operation within global guardrails proactive risk escalation Success Metrics First 30 Days o Org portfolio health baseline confirm .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.