Company Name: VARITE India Private Limited

About The Client:
Client is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm

About The Job:

• As an AI Lead, you will architect, build, and deliver cutting-edge GenAI and agentic systems that power enterprise and product workflows. This role blends deep technical expertise in backend engineering, cloud-native development, and modern AI/ML with the ability to design scalable AI architectures, lead engineering execution, and collaborate cross-functionally with product and business stakeholders.
• You will drive end-to-end solution design—from ingestion, orchestration, and retrieval to model selection, evaluation, and production deployment.

Essential Job Functions:
GenAI & Agentic Architecture Design

• Design end-to-end GenAI architectures: multi-agent workflows, tool orchestration, memory systems, RAG pipelines, and long-running workflows.
• Translate business problems into technical AI solution blueprints (models, tools, data flows, integrations).
• Define standards and best practices for:
• Prompt engineering
• Tool-calling architecture
• Context management
• Retrieval strategies
• Multi-agent orchestration

Backend & Microservices Development

• Implement Python/FastAPI microservices and serverless components (AWS Lambda, Azure Functions), with containerized workloads on Kubernetes (EKS/AKS/GKE).
• Define API contracts and integration patterns between agents, microservices, and external systems.
• Develop ETL/ELT pipelines using Python/SQL for structured & unstructured data across data lakes/warehouses (S3, ADLS, Cosmos DB, BigQuery, SQL DB).
• Ensure services meet non-functional requirements: scalability, performance, latency, and cost efficiency.

Retrieval & Knowledge Systems

• Architect retrieval pipelines using vector databases: Qdrant, Weaviate, Chroma, PGVector.
• Design embedding, indexing, chunking, and hybrid retrieval strategies.
• Optimize RAG flows for enterprise-grade reliability and accuracy.

Evaluation, Governance & Safety

• Establish evaluation frameworks: offline/online tests, A/B experiments, human-in-the-loop feedback loops.
• Implement guardrails: input/output safety, content filters, hallucination detection.
• Ensure compliance with data security, privacy, access control, and safe AI principles.

Leadership, Collaboration & Delivery

• Serve as a technical leader across engineering squads—providing mentorship, code reviews, and design guidance.
• Partner with product managers, customers, and cross-functional teams to define requirements, scope, and architectural decisions.
• Lead architecture reviews, maintain decision records, and deliver technical documentation.
• Represent the AI team in customer meetings, proposals, and solution walkthroughs.

Qualifications:
Technical Expertise

• 6+ years in software/solution architecture or backend engineering.
• 2+ years hands-on building GenAI/ AgenticAI/ LLM systems.

Strong proficiency in:

• Python (OOP, async, API development)
• Cloud (AWS required; Azure/GCP is a plus)
• FastAPI, serverless functions (Lambda/Azure Functions)
• Docker, Kubernetes, container orchestration

Strong understanding of:

• LLMs, embeddings, prompt engineering
• Tool-calling, multi-agent patterns
• RAG design, vector search, chunking strategies
• Experience with vector databases (Qdrant, Weaviate, PGVector, Chroma).
• Solid knowledge of SQL & Python ETL for data engineering.

Hands-on experience with:

• AWS services (S3, Lambda, API Gateway, EventBridge, DynamoDB/RDS)
• Azure services (ADLS, Cosmos DB, Azure SQL)
• CI/CD automation and Git workflows
• Fundamental front-end knowledge (React/Angular/HTML/CSS) for collaboration.

Engineering Practices

• Strong unit/integration testing discipline.
• Experience with IaC (Terraform/CloudFormation/ARM).
• Strong understanding of cloud-native observability (logging, metrics, tracing).
• Experience running systems in Agile squads with Jira or similar tools.

Soft Skills & Leadership

• Excellent communication—capable of simplifying complex AI concepts.
• Strong ownership, product mindset, and customer-facing confidence.
• Ability to balance rapid experimentation with production reliability.
• Comfortable leading architecture discussions and mentoring engineers.

Preferred Qualifications

• Experience contributing to open-source projects or AI/ML communities.
• Cloud certifications (AWS Developer Associate, Azure Developer, GCP Cloud Developer) are plus.
• Experience with data governance, enterprise security, and compliance frameworks.
• Exposure to agentic AI platforms/ Frameworks (e.g., LangChain, langgraph, Autogen, Haystack, OpenAI’s MCP etc).
• Contributions to advanced RAG systems or prompt engineering frameworks

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years

INR 5,000

2-6 years

INR 7,500

6+ years

INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.