Senior Architect

Senior Generative AI Architect (Salesforce / Healthcare Domain) Location: Experience: 4 to 8+ years
Employment Type: Full-time
Compensation: Competitive + Benefits + Performance Bonus
 
As a Senior Generative AI Architect , you will be the technical brain behind our most ambitious GenAI initiatives. 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.

Architect Next Gen AI Systems
Design and implement robust, stateful agentic systems capable of dynamic task decomposition, planning, and real time tool use.
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.
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.
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 .
Write clean, production grade Python (plus PyTorch/TensorFlow/Keras).
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).
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.
Healthcare AI : HIPAA compliance, EMR/EHR systems, HL7/FHIR, life sciences data.
Salesforce AI : Custom Apex/Lightning development, Einstein/Agentforce, data integration.
Able to communicate complex architectures to technical & business stakeholders.

Build AI systems that transform how enterprises in healthcare & Salesforce operate.
Freedom to choose the right models, frameworks, and pipelines, ship what you believe in.
Join a team of elite engineers solving real world problems with cutting edge AI.
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.

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