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Technical Manager – GenAI & Agentic AI Platforms

GlobalLogic

Full time On-site
Experience
15+ years
Location
Hyderabad
Work mode
On-site
Salary
₹9.9L – ₹21L a year estimatetypical for IT Jobs in Hyderabad, 72 posts
Posted 29 days ago

You apply on GlobalLogic's website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • Lead end-to-end delivery of GenAI and Agentic AI platforms, including LLM integration, RAG pipelines, AI agents orchestration, and…
  • Architect and operate cloud-native data and AI platforms on AWS/Azure to support model training, inference, analytics, and real-time AI…
  • Build and manage high-performing engineering teams; drive Agile/DevOps practices, SRE, and operational excellence for AI systems.
Experience
15+ years
Must-have skills
AWSAgileCI/CDData EngineeringIAMMicrosoft Azure
Work mode
Remote

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Job description

Description

Requirements

Job Description

We are seeking a seasoned Technical Manager to lead GenAI and Agentic AI initiatives, building scalable, secure, and compliant AI platforms on cloud-native data foundations. The role blends hands-on technical leadership with strategic ownership of AI platforms, enabling enterprise-grade LLM, agent orchestration, and AI-driven product capabilities across regulated and large-scale environments.

Location : HYDERABAD mandatory

Key Responsibilities:

  • Lead end-to-end delivery of GenAI and Agentic AI platforms, including LLM integration, RAG pipelines, AI agents orchestration, and AI-enabled applications.
  • Architect and operate cloud-native data and AI platforms on AWS/Azure to support model training, inference, analytics, and real-time AI workloads.
  • Build and manage high-performing engineering teams; drive Agile/DevOps practices, SRE, and operational excellence for AI systems.
  • Partner with Product, Data Science, Security, and Platform teams to align AI strategy with business outcomes and product roadmaps.
  • Own reliability, scalability, cost optimization, and performance of AI workloads and data platforms.
  • Establish governance, security, and compliance for AI systems (HIPAA, SOC2, GDPR), including data privacy, auditability, and responsible AI practices.
  • Lead incident management and root cause analysis for business-critical AI and data platform outages.
  • Translate customer and stakeholder feedback into continuous improvements in AI platforms, documentation, and developer enablement.
  • Drive platform modernization, cloud migration, and adoption of emerging GenAI/Agentic AI technologies.

Required Skills & Experience:

  • 15+ years of experience in Cloud, Data Engineering, and Platform Leadership roles.
  • Strong hands-on experience with AWS and/or Azure (cloud-native architectures, networking, security, IAM, observability).
  • Experience building and operating data platforms (SQL/NoSQL, OLTP, DWH, streaming) to support AI/ML workloads.
  • Proven leadership in delivering AI-enabled platforms (LLM-backed applications, analytics, speech/vision AI, ML pipelines).
  • Strong understanding of GenAI concepts: LLM integration, RAG, embeddings, vector databases, prompt engineering, AI orchestration frameworks.
  • Experience leading teams in Agile/DevOps, CI/CD, IaC, reliability engineering, and KPI-driven performance management.
  • Deep knowledge of security, governance, compliance in regulated environments (HIPAA, SOC2, GDPR).
  • Excellent stakeholder management and ability to translate business needs into scalable AI platform solutions.

Good to Have:

  • Experience with Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI or similar orchestration patterns).
  • Experience with MLOps/LLMOps: model lifecycle management, monitoring, evaluation, and cost governance.
  • Exposure to healthcare, insurance, or other compliance-heavy domains.
  • Experience running AI workloads on managed cloud data services and supporting enterprise AI adoption.

What Success Looks Like:

  • Reliable, scalable GenAI & Agentic AI platforms adopted by multiple products/teams.
  • Reduced time-to-market for AI features through standardized AI/data platforms.
  • Strong operational KPIs (availability, cost efficiency, incident reduction).
  • High-performing engineering teams with strong AI platform maturity and governance.

Job responsibilities

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Key skills

Required

AWSAgileCI/CDData EngineeringIAMMicrosoft AzurePerformance ManagementPrompt EngineeringSQLStakeholder ManagementCompliance

Soft skills

Leadership

Job market insights

319active AWS jobs in Hyderabad
204active Agile jobs in Hyderabad
283active CI/CD jobs in Hyderabad
₹9.9L – ₹21L advertised yearly salary for IT Jobs in Hyderabad (middle half of 72 posts that show a salary; median ₹16L)
8 more open jobs at GlobalLogic

Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (43% of 960 that say).

Hiring most for IT Jobs in Hyderabad

  • Salesforce43 open jobs
  • JPMorgan Chase28 open jobs
  • Trigent Software Private Limited24 open jobs

Jobs asking for AWS in Hyderabad also ask for

  • Python55%
  • CI/CD50%
  • Microsoft Azure46%
  • Google Cloud Platform (GCP)35%
  • Java33%

From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Technical Manager – GenAI & Agentic AI Platforms job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹9.9L – ₹21L a year (typical for IT Jobs in Hyderabad, 72 posts).

How much experience does this job need?

The post asks for 15 Yrs experience.

Where is this job based?

In Hyderabad (on-site).

What kind of job is this?

It is a full time job.

How do I apply?

You apply on GlobalLogic's website. CoreHRx takes you there after you sign in.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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