Location : Hyderabad

No of Positions : 2

Experience : 10-18 Yrs.

Salary/Rate : We will discuss

Job type : Onsite, 5 days’ work from Hyderabad office

Must Have : AI Architecture, LLM, Python.

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

Architecture & Technical Leadership

- 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.
- Project Execution & Delivery Oversight
- Serve as technical anchor for customer AI/ML and Agentic AI projects.
- Guide engineering teams on modular, secure, and reusable implementation strategies.
- Review and validate code, infrastructure scripts, and ML pipelines for quality, performance, and reliability.
- Oversee data pipelines, model training, LLMOps, and model deployment workflows.

Hands-on Engineering & Problem Solving

- 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.
- Quality, Compliance & Observability
- Embed observability, safety, and compliance into the AI/ML lifecycle.
- Integrate with AI governance platforms for model tracking, versioning, audits, and risk controls.
- Ensure alignment with enterprise and regulatory standards like NIST AI RMF, EU AI Act, and internal responsible AI policies.
- Collaboration & Customer Engagement
- Act as the technical point of contact for client-side engineering and data science teams during delivery.
- Participate in sprint planning, status reviews, and change control boards.
- Support knowledge transfer, UAT, documentation, and post-deployment handoffs.

Required Qualifications Education : B.Tech/M.Tech or equivalent in Computer Science, Data Science, or a related field.

Experience

- 10+ 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.
- Solid 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.
- Cloud & Infrastructure
- 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).
- Familiarity with Infrastructure as Code (Terraform, Pulumi, CDK).

📌 Lead AI Architect (Hyderabad)
🏢 Gravity Engineering Services
📍 Hyderabad