AIML Architect

Company DescriptionTalentBridge Global is a founder-led recruitment firm connecting exceptional professionals with world-class opportunities across IT and non-IT domains. The platform specializes in talent acquisition and placement to support the growth of businesses worldwide. With partnerships in technology and consulting, TalentBridge Global facilitates seamless deployment of skilled teams for global client engagements. The company is committed to fostering professional development and bridging gaps in the job market.Role: AIML Architect (Who could do coding)Location: WFHExp: 12+ yrsSalary: 45 LPANp: ImmediateKey Responsibilities:Technical Architecture Ownership:Lead the end-to-end architecture and design of scalable, secure, and robust GenAI solutions built around Multi-Agent Systems, Generative AI, RAG, Knowledge Graphs, and SLM/LLM integrations.Develop detailed solution blueprints, patterns, and architectural standards for multi-agent orchestration and workflow automation.Hands-on Engineering Leadership:Actively participate in coding, prototyping, and hands-on development, particularly in early stages of product and feature development.Contribute directly to critical components involving LangChain, LangGraph, Hugging Face, vector databases, AI-powered agents and of various AI/ML tools.Lead implementation of sophisticated data pipelines and integrations with various AI technologies including Voice Agents, Speech-to-Text, Text-to-Speech, and Realtime Speech-to-Speech solutions. Team Development & Technical Mentorship:Mentor, groom, and expand technical leads and engineers, fostering innovation, autonomy, and accountability.Ensure technical teams adhere to the defined architectural standards, AI solutioning best practices, and technical roadmaps.Stakeholder Engagement & Cross-Team Collaboration:Collaborate closely with Product, Delivery, and client-facing teams to translate business objectives into technical deliverables.Clearly communicate architectural strategies, trade-offs, and technical decisions to both technical and non-technical stakeholders.Best Practices & Standards Enforcement:Drive adoption of best practices in software and AI architecture, scalability, maintainability, and performance optimization.Ensure alignment with Responsible AI guidelines and regulatory standards. Required Qualifications:10+ years of hands-on experience in Software Development and Solution Architecture, including significant experience architecting AI-powered solutions.Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related technical fields.Background in building AI solutions for enterprise-scale use cases with demanding real-time or high-performance requirements.Track record of working effectively in a fast-paced, agile, startup environment.Deep hands-on experience with:Generative AI & Multi-Agent Systems: Integration and orchestration using frameworks such as LangChain, LangGraph, Hugging Face, or equivalent.AI Integration & Workflows: LLM & SLM integrations, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Prompt Engineering, MCP, A2A, Guardrails.Data Pipelines & AI Integrations: Robust pipeline design for seamless data ingestion, transformation, and model integration.Voice and Speech Technologies: Voice Agents, Speech-to-Text, Text-to-Speech, Realtime Speech-to-Speech solutions.Vector Databases: PgVector, Pinecone, Milvus, Neo4j, or similar solutions.Backend Development & APIs: Python, Node.js, Microservices, REST/WebSocket APIs.Infrastructure & Cloud: AWS/GCP/Azure, Kubernetes, Docker, CI/CD, Terraform.Drop resume on connect@

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