Lead Architect_Python

Lead Architect Python Hello Siddhi, Please open the below req for Highmark. Please let me know, if you need any other information. Account name Highmark Code NA BSD (Billing start date) 30-11-2026 - Tentative Role Name Lead Architect Priority P3 Designation Lead Architect YOE (year of experience) 16 - 20 years (L6) Staffing key skills Python, GCP, Vertex AI & Agentic AI Location Offshore JD We are looking for a highly experienced Lead Architect to architect and deliver enterprise-scale AI solutions leveraging Python, Google Cloud Platform (GCP), Vertex AI, Gemini Models, and Agentic AI. This role requires a strong blend of architecture leadership and hands-on technical expertise in designing, building, and deploying cloud-native AI applications. This is a hands-on architecture role. The ideal candidate should be comfortable defining solution architectures, developing proof of concepts, guiding implementation teams, and contributing to the development of AI-powered applications and platforms. Key Responsibilities Define architecture strategy and technical roadmap for AI and cloud-native solutions. Design and implement Agentic AI, Multi-Agent Systems, AI Assistants, and RAG-based applications. Lead solution design using Python, GCP, Vertex AI, and Gemini models. Drive architecture best practices, security, scalability, and governance standards. Mentor engineering teams and provide technical leadership. Collaborate with business stakeholders and clients to translate requirements into scalable solutions. Support solutioning, technical proposals, architecture reviews, and client engagements. Required Skills Python (FastAPI/Flask) Google Cloud Platform (GCP) Vertex AI & Gemini Models Agentic AI & Multi-Agent Systems Retrieval-Augmented Generation (RAG) Google ADK, LangGraph, CrewAI, AutoGen LangChain / LlamaIndex Microservices & API Architecture Kubernetes, Docker Enterprise Solution Architecture Hands-on experience designing, developing, and deploying production-grade AI/GenAI solutions on GCP Preferred Skills Healthcare, Payer, Provider, or Life Sciences domain experience FHIR, HL7, and Healthcare Interoperability AI-powered healthcare solutions Client-facing architecture and stakeholder management Pre-sales, solutioning, and technical consulting experience Qualifications Bachelor's or Master's Degree in Computer Science, Engineering, or a related field Preferred Certifications Google Cloud Professional Cloud Architect Google Cloud Professional Machine Learning Engineer Vertex AI, Gemini, Agent Development, or Generative AI-related Google Cloud Certifications / Skill Badges Experience 16+ years of overall IT experience Proven hands-on experience in Python development and cloud-native application architecture Experience building and deploying enterprise-scale GenAI, RAG, AI Agent, and Multi-Agent solutions Strong background in designing scalable, secure, and production-ready AI platforms End date of the requirement TBD Regards, Rajiv