AI/ML Architects

Genetic Callnet Consultancy Pvt Ltd.
Mumbai Metropolitan Region

Job Description: AI/ML Architect Position Details

  • Resource Type: Full-Time / Contract
  • Location: Mumbai Lower Parel, BKC (Bandra Kurla Complex), Malad, Kalina-Santacruz
  • Number of Positions: 2
  • Experience: 10 18 Years
  • Salary/Rate: Open for Discussion
  • Work Mode: Onsite 5 Days a Week
  • Must-Have Skills: AI Architecture, LLM, Python

Job Summary

We are seeking experienced AI/ML Architects to join the AI Engineering service line. The role involves leading the technical delivery of enterprise AI/ML and Agentic AI projects from solution handover through design, development, deployment, and optimization.

The ideal candidate will be responsible for ensuring production-grade quality, scalability, security, and compliance while translating architectural blueprints into robust, enterprise-ready AI solutions. The role requires strong hands-on engineering expertise, architectural leadership, and the ability to collaborate with cross-functional teams and customers across industries such as BFSI, Healthcare and Life Sciences (HLS), Manufacturing, CMT, Retail, and Energy.

Key Responsibilities 1. Architecture & Technical Leadership

  • Own end-to-end technical architecture and solution integrity throughout project delivery.
  • Translate solution blueprints into detailed technical designs, implementation backlogs, and integration plans.
  • Lead design reviews and ensure adherence to AI platform, MLOps, LLMOps, and Agentic AI best practices.
  • Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation.

2. Project Execution & Delivery

  • Act as the technical anchor for enterprise AI/ML and Agentic AI projects.
  • Guide engineering teams in developing modular, secure, scalable, and reusable solutions.
  • Review and validate code, infrastructure scripts, ML pipelines, and deployment workflows.
  • Oversee data pipelines, model training, LLMOps, and model deployment activities.

3. Hands-on Engineering & Problem-Solving

  • Provide hands-on technical expertise in LLM pipelines, vector databases, fine-tuning, and model evaluation.
  • Resolve integration challenges involving APIs, knowledge stores, and orchestration layers.
  • Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, and related tools.

4. Quality, Compliance & Observability

  • Embed observability, AI safety, security, and compliance throughout the AI/ML lifecycle.
  • Integrate AI governance platforms for model tracking, versioning, auditing, and risk management.
  • Ensure alignment with relevant enterprise and regulatory frameworks, including NIST AI Risk Management Framework, EU AI Act, and responsible AI policies.

5. Collaboration & Customer Engagement

  • Serve as the technical point of contact for client engineering and data science teams.
  • Participate in sprint planning, project status reviews, and change control discussions.
  • Support knowledge transfer, user acceptance testing (UAT), technical documentation, and post-deployment handovers.

Required Qualifications Education

  • B.Tech, M.Tech, or equivalent qualification in Computer Science, Data Science, or a related discipline.

Technical Experience

  • 10+ years of experience in software engineering or architecture, including at least 5 years in applied AI/ML system delivery.
  • Strong hands-on expertise in Python development.
  • Proven experience in productionizing AI/ML models and developing enterprise-grade AI applications.
  • Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases such as Weaviate, Qdrant, and Pinecone.
  • Proficiency in AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
  • Experience with MLOps/LLMOps tools such as MLflow, Argo, KServe, Feast, and Kubeflow.
  • Knowledge of data pipeline engineering using Spark, Airflow, or Dataflow.
  • Familiarity with agent orchestration frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.

Cloud & Infrastructure

  • Hands-on experience with GCP services such as Vertex AI, BigQuery, Document AI, and AI Gateway, and/or Azure services such as Azure ML, Azure OpenAI, and Synapse.
  • Expertise in Docker and Kubernetes.
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or AWS CDK.

Soft Skills

  • Strong architectural thinking and analytical problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to collaborate effectively with cross-functional teams and clients.
  • Proactive, structured, and detail-oriented approach with a strong execution focus.

Good to Have

  • Experience deploying Agentic AI systems or collaborative multi-agent architectures in production.
  • Understanding of AI ethics, fairness, transparency, explainability, and bias mitigation.
  • Familiarity with AI observability and governance platforms such as Arize, Fiddler, and TruEra.

Key Skills

AI Architecture | Artificial Intelligence | Machine Learning | LLM | Python | RAG | Vector Databases | Agentic AI | LangChain | LangGraph | MLOps | LLMOps | GCP | Azure | Docker | Kubernetes

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Questions about this job

How do I apply for the AI/ML Architects job at Genetic Callnet Consultancy Pvt Ltd.?

Use the apply link on this page: you apply directly with Genetic Callnet Consultancy Pvt Ltd. on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Genetic Callnet Consultancy Pvt Ltd. want for this AI/ML Architects role?

The job description asks for AI Architecture, LLM, Python, software engineering, applied AI/ML system delivery, productionizing AI/ML models, enterprise-grade AI applications and Large Language Models (LLMs). Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Genetic Callnet Consultancy Pvt Ltd.?

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Is this AI/ML Architects job remote or onsite?

This is based in Mumbai Metropolitan Region.

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