Job Description

We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems -- ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy.

Key Responsibilities:

Own the end-to-end technical architecture and solution integrity during project delivery.

Translate solution blueprints into detailed technical designs, backlog, and integration plans.Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices.

Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation.

Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations.

Resolve system integration challenges across APIs, knowledge stores, and orchestration layers.

Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc.

Required Skills

12+ years in software architecture or engineering with 5+ years in applied AI/ML system delivery.

Experience in productionizing AI/ML models and building full-stack AI applications in enterprise settings.

Strong

Python development skills; proficiency in ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn).

Strong understanding of

LLMs, RAG pipelines, vector databases (Weaviate, Qdrant, Pinecone).

Experience with

MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow

.

Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow.

Exposure to agent orchestration frameworks:

LangChain, LangGraph, AutoGen, CrewAI is

a big plus.

Hands-on experience with

GCP (Vertex AI, BigQuery, Document AI, AI Gateway)

and/or Azure (Azure ML, OpenAI, Synapse).

Expertise in containerization (Docker) and orchestration (Kubernetes).

Job Type: Full-time

Pay: ?7,000,000.00 - ?8,000,000.00 per year

Benefits:

Health insurance Paid time off Provident Fund Work from home
Work Location: In person

Speak with the employer

+91 9999306447