AI/ML Architect

Senior AI/MLArchitect (Salesforce / Healthcare Domain)

Location:Coimbatore, TN, On-Site

Experience:4+ years

Employment Type:Full-time

Compensation:Competitive + Benefits + Performance Bonus

About the Role

We are seeking a Senior AI/ML/DL Architect with deep expertise in designing, building, and deploying production-grade AI/ML systems. This role is central to our mission of creating impactful AI-driven solutions in the Healthcare and Salesforce domains.

As a hands-on technical leader, you will own the end-to-end AI lifecycle from data ingestion, model training, and optimization to deployment, monitoring, and scaling. While the role is rooted in AI/ML/DL architecture, youll also have opportunities to expand into Generative AI and LLM-based systems.

This is your chance to work on high-impact projects, shaping AI solutions that directly transform enterprises.

Key Responsibilities

• Architect & Deploy ML/DL Systems
• Design and implement scalable ML pipelines: preprocessing, feature engineering, model training, evaluation, deployment.
• Engineer low-latency, high-throughput inference systems suitable for enterprise use cases.
• Domain-Centric Solutioning
• Healthcare AI: Architect HIPAA/FHIR-compliant workflows for EMR/EHR, clinical notes, imaging, and life sciences data.
• Salesforce AI: Build and integrate AI systems with Einstein 1 Platform, Apex, SOQL, Agentforce, Data Cloud, and MuleSoft APIs.
• Model Optimization & Performance
• Apply advanced ML/DL techniques: CNNs, RNNs, transformers, ensemble methods.
• Optimize models for speed, cost, and accuracy via quantization, distillation, pruning, and distributed training.
• Infrastructure & MLOps
• Build robust ML pipelines with CI/CD, Kubernetes, Docker, MLflow/Kubeflow, and Airflow.
• Deploy across AWS (SageMaker, Bedrock), Azure AI, or GCP Vertex AI with observability, telemetry, and drift detection.
• Implement scalable, compliant architectures meeting HIPAA/GDPR standards.
• Future Growth into Generative AI(optional but encouraged)
• Explore LLMs, RAG, fine-tuning (LoRA, QLoRA, PEFT) and orchestration frameworks (LangChain, LlamaIndex).
• Experiment with vector databases (Pinecone, FAISS, Milvus, Weaviate) and hybrid retrieval pipelines.
• Leadership & Mentorship
• Write clean, production-grade Python (PyTorch, TensorFlow, Keras).
• Mentor engineers/data scientists, enforce coding & architectural best practices.
• Translate complex business challenges into scalable AI solutions.

What You Bring

• Experience: 48+ years in AI/ML/DL engineering or architecture, with proven success delivering production-grade systems.
• Core Technical Skills:
• Expert Python with PyTorch, TensorFlow, Keras.
• Strong knowledge of ML algorithms, DL architectures (transformers, attention models, CNNs, RNNs).
• Data pipelines, embeddings, ETL/ELT, real-time streaming.
• Infrastructure:
• Cloud platforms (AWS, Azure, GCP).
• CI/CD, Kubernetes, Docker, MLOps pipelines (MLflow, Kubeflow, Airflow).
• Domain Expertise(must have one, ideally both):
• Healthcare: HIPAA/FHIR/HL7, EMR/EHR, clinical data, imaging.
• Salesforce: Einstein 1 Platform, Agentforce, Apex/Lightning, SOQL, Data Cloud, MuleSoft.
• Nice-to-Have (Future Growth): Exposure to Generative AI/LLMs and orchestration frameworks.
• Soft Skills: Systems-level thinker, problem solver, strong communicator, collaborative leader.

Why Join Us

• Hard, meaningful problems: Build AI systems that transform how enterprises in healthcare & Salesforce operate.
• Technical autonomy: Freedom to choose the right models, frameworks, and pipelines, ship what you believe in.
• A culture of builders: Join a team of elite engineers solving real world problems with cutting edge AI.
• Rewards that match impact: Competitive salary, and benefits that reward ambition.

If you are a systems-level thinker and a world-class engineer ready to build the next generation of intelligent machines, apply now. Let's create the future together.