Senior Generative AI Architect (Salesforce / Healthcare Domain)

Senior Generative AI Architect (Salesforce / Healthcare Domain)

Location:

About the Role

Senior Generative AI Architect

stateful multi agent systems, optimized LLM pipelines, and production grade orchestration frameworks

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

  : 4–8+ years in software engineering / AI/ML roles with

  hands-on ownership of GenAI product lifecycle

  (ideation deployment scale).

• 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.

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.Role & responsibilities

Preferred candidate profile