Location: Chennai, Bangalore, Hyderabad

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.

We are seeking an experienced Platform Architect with deep expertise in systems design, performance engineering, cloud infrastructure, and AI/ML platform development to lead the architecture of our next-generation GenAI and agentic solutions. This role will be central to shaping our AI strategy, designing scalable intelligent systems, and mentoring cross-functional teams across platform, ML, and software engineering.

● Define the technical architecture for GenAI-powered products, including RAG pipelines, agentic workflows, and inference orchestration.

● Design scalable, fault-tolerant systems that support low-latency LLM inference, caching, streaming, and asynchronous workflows.

● Design and build scalable data processing pipelines to efficiently ingest, parse, index large volumes of multi-modal data

● Lead architectural reviews and technology assessments across infrastructure, software engineering, and ML domains.

● Establish architectural standards, reusable frameworks, and technical governance processes.

● Guide performance profiling, bottleneck analysis, and system-level optimization across pipelines.

● Implement and evolve strategies for caching, batching, model routing, multi-tenancy, and compute efficiency.

● Ensure high availability and resiliency of AI services under multi-tenant and large-scale workloads.

● Collaborate with ML, Data, and DevOps teams to build robust orchestration of data pipelines (e.g., Airflow, Ray, KServe).

● Define best practices for integrating vector databases, feature stores, model registries, and agent frameworks.

Drive adoption of cost-aware architecture, usage metering, and observability for GenAI platforms.

● 10+ years of experience in software engineering, with at least 3+ yearsin architectural or technical leadership roles.

● Proven track record of designing distributed systems and high-performance infrastructure.

● Deep experience with cloud-native architecture (AWS, GCP, or Azure), Kubernetes, CI/CD, and infrastructure-as-code (e.g., Terraform).

● Strong understanding of machine learning workflows, model serving, vector search, and LLMOps/MLOps.

● Experience with tools such as LangChain, LangGraph, ADK, Ray, Weaviate, Pinecone, Redis, or similar.

● Experience with cloud native services across vector DBs, search, data processing, agentic workflows

● Solid grasp of performance tuning, caching strategies, service orchestration, and multi-region architectures.

● Strong communication and cross-functional collaboration skills.

● Background in platform engineering or SRE with focus on observability, security, and cost optimization.

● Prior experience mentoring engineering leads or contributing to architecture guilds or centers of excellence.

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.