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Tiger Analytics

Architect / Sr. Architect-GenAI & AI Platforms (Data and AI)

Chennai · Director

Older listing - lower visibility likelyVerified listingPosted 68d ago

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Skills required

15 listed
Retrieval-Augmented Generation (RAG)CI/CDLarge Language Models (LLMs)Natural Language ProcessingSystems IntegrationAgentic AIApplication Programming Interface (API)Amazon Web Services+7 more
Retrieval-Augmented Generation (RAG)CI/CDLarge Language Models (LLMs)Natural Language ProcessingSystems Integration

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Job description

Architect / Sr. Architect – GenAI & AI Platforms (Data & AI)

Chennai, Bangalore, Hyderabad, Pune, NCR

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role? What your typical day would look like?

We’re looking for a talented and driven AI Engineer to join a meaningful internal strategic initiative and to contribute to solving complex AI/ML problems for our clients.

We are looking for an Architect / Sr. Architect – GenAI & AI Platforms, to lead the design and development of a strategic enterprise AI platform. In this role, you will work closely with senior leadership, including founders, to define the platform vision and architect scalable, production-grade AI systems powered by LLMs and modern AI technologies. You'll be working closely with senior leadership, including one of our founders, to help build an innovative enterprise platform for the organization. This platform will act as a digital twin of our existing systems-an intelligent bot/ Platform that provides real-time insights on what needs to be done and how to do it.

If you're passionate about Generative AI, LLMs, and cutting-edge technology, and you enjoy building high-impact solutions, we’d love to hear from you! As an AI Engineer Architect/Sr. Architect on the Data and AI team, you will:

1. Define & Architect AI Platforms

  • Lead the architecture of an enterprise-grade AI platform (digital twin) integrating multiple data and system layers
  • Design scalable, modular, and extensible system architectures for GenAI-powered applications
  • Make key design decisions across model selection, orchestration, data flows, and system integration

2. Build Intelligent GenAI Systems

  • Architect LLM-powered systems including copilots, decision-support systems, and agentic workflows
  • Define patterns for retrieval-augmented generation (RAG), context management, and reasoning pipelines
  • Enable real-time intelligence and actionability through AI-driven insights

3. Drive Engineering Excellence & Scale

  • Establish best practices for system design, code quality, and platform reliability
  • Oversee development of high-performance, scalable backend systems and APIs
  • Ensure robust deployment architectures across cloud environments (AWS/GCP/Azure)

4. Integrate Across Enterprise Ecosystems

  • Lead integration of AI platform with existing enterprise systems and data pipelines
  • Ensure scalability, security, and compliance in production environments
  • Design microservices-based architectures for seamless interoperability

5. Lead, Mentor & Influence

  • Work closely with leadership to translate strategic vision into execution.
  • Mentor engineering teams and guide technical decision-making.
  • Collaborate with clients and stakeholders to drive adoption of AI solutions.
  • Contribute to building reusable accelerators and internal AI platforms.
  • Collaborate with leadership to understand the vision, scope, and requirements for the enterprise platform, ensuring alignment with strategic business goals.
  • Lead and mentor teams while effectively managing relationships with customer stakeholders, driving projects from concept to delivery.
  • Architect and design a smart, AI-driven platform that provides real-time intelligence to guide and optimize projects.
  • Leverage cutting-edge technologies like LLMs (Large Language Models) and Generative AI to build transformative, innovative tools.
  • Oversee the integration of the platform with existing organizational systems, ensuring seamless, scalable, and secure solutions.
  • Drive the development of scalable, reliable, and high-performance software architectures.
  • Conducting peer reviews, setting standards for code quality and best practices across teams.

What do we expect?

Key skills

  • Overall, 7.5+ to 13 years of experience with relevant experience in MLE/MLOps/AI Engg.
  • Proven experience in designing and architecting scalable AI/ML systems.
  • Experience in leading a team as well as handling customer stakeholders.
  • Proven expertise in working with LLMs, Generative AI, and Agentic AI technologies.
  • Experience with cloud-native architectures(Azure, AWS, GCP) and distributed systems.
  • Hands-on experience with MLOps, Kubernetes, and CI/CD pipelines.
  • Strong proficiency in backend development using Python frameworks (such as Django/Flask) or other similar technologies.
  • In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies.
  • Ability to drive collaboration across cross-functional teams and lead projects in a dynamic, fast-paced environment.
  • Experience in mentoring and guiding teams, fostering collaboration across cross-functional groups.
  • Passion for innovation, with the ability to stay updated with emerging technologies and apply them to solve complex challenges.

What makes this role exciting

  • Opportunity to architect a flagship AI platform from the ground up.
  • Direct collaboration with senior leadership and founders.
  • Work on cutting-edge GenAI systems with real enterprise impact .
  • Influence long-term AI strategy and platform direction.
  • If you have expertise in any of the above skills then let us know and we will align opportunities with your strengths and support upskilling.

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Mandatory Skills

generative ai,Agentic Ai,MLOps,Large Language Model,Natural Language Processing

Experience

7 to 13 years

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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