Senior Generative AI Architect

Role : Senior Generative AI Architect (Salesforce / Healthcare Domain)

Location : Coimbatore, TN, On-Site.

Experience : 4 to 8 years.

Employment Type : Full-time.

Compensation : Competitive Benefits Performance Bonus.

About the Role :

As a Senior Generative AI Architect, you will be the technical brain behind our most ambitious GenAI initiatives.

This is not research only role; you will engineer, scale, and productionize agentic LLM systems that solve real enterprise challenges in Healthcare and Salesforce ecosystems.

You will architect stateful multi agent systems, optimized LLM pipelines, and production grade orchestration frameworks that are compliant, scalable, and high impact.

If you thrive at the intersection of deep technical rigor, domain expertise, and real world deployment, this is the role for you.

What Youll Do :

Architect Next Gen AI Systems :

- Design and implement robust, stateful agentic systems capable of dynamic task decomposition, planning, and real time tool use.

- Engineer low latency, high throughput pipelines for mission-critical enterprise use cases.

Engineer Advanced LLM Pipelines :

- Go beyond basic RAG, build hybrid retrieval pipelines (semantic, keyword, knowledge graph), integrate re ranking models, and orchestrate chain of thought routing.

- Leverage vector databases (Pinecone, Weaviate, Milvus, FAISS) and embedding strategies for intelligent retrieval at scale.

Model Customization & Optimization :

- Lead strategy for model selection, fine tuning, and specialization (PEFT, LoRA, QLoRA, adapters).

- Optimize models for inference with quantization, distillation, and frameworks like vLLM, DeepSpeed, TensorRT.

- Implement evaluation & guardrails (RAGAs, TruLens, adversarial testing, toxicity filters).

Full-Stack AI Engineering :

- Own end to end lifecycle : data ingestion, preprocessing, embeddings, model deployment, monitoring, and continuous improvement.

- Build scalable infrastructure with MLOps/LLMOps principles : CI/CD, automated testing, observability, telemetry, and drift detection.

- Deploy on AWS (Bedrock, SageMaker), Azure AI Studio, or GCP Vertex AI, leveraging Kubernetes, Docker, and serverless architectures.

Domain-Centric Architectures :

- Healthcare : Architect HIPAA/FHIR compliant AI workflows (clinical notes, EMR/EHR, imaging, life sciences data).

- Salesforce : Architect AI/LLM systems that leverage Einstein 1 Platform, Agentforce, Apex, SOQL, MuleSoft & Data Cloud.

Technical Leadership :

- Write clean, production grade Python (plus PyTorch/TensorFlow/Keras).

- Build reusable tools, agents, APIs, and SDKs.

- Mentor engineers & elevate team technical standards.

- Influence strategic roadmap with your systems level thinking.

What You Bring :

- Experience : 4 to 8 years in software engineering / AI/ML roles with hands-on ownership of GenAI product lifecycle

- Generative AI Mastery : Built production grade LLM or agentic system (not just prototypes).

Deep Technical Acumen :

- Programming & Frameworks : Expert Python PyTorch/TensorFlow, Hugging Face, LangChain, LlamaIndex.

- LLM Orchestration : Multi agent architectures, custom tools, memory/state handling.

- Data & Infra : ETL, embeddings, vector DBs, hybrid search, real time streaming.

- Cloud & MLOps : CI/CD for ML, Kubernetes, Docker, observability, A/B testing at scale.

- Model Ops : Fine-tuning (LoRA, QLoRA, adapters), optimization (quantization, distillation, pruning).

Domain Expertise (must have one, ideally both) :

- Healthcare AI : HIPAA compliance, EMR/EHR systems, HL7/FHIR, life sciences data.

- Salesforce AI : Custom Apex/Lightning development, Einstein/Agentforce, data integration.

- Soft Skills : Critical thinker, problem solver, systems level designer.

- Able to communicate complex architectures to technical & business stakeholders.

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.