Technical Architect (GEN AI)

Technical Architect

Fulltime Employment

 Job Overview:

 We are looking for an experienced, hands-on Technical Architect to own and lead the architecture, design, and end-to-end technical solutions of our cutting-edge AI Multi-Agent workflow orchestration and domain solutions platform. You will play a critical role in architecting and implementing innovative solutions leveraging Generative AI, Multi-Agent Systems, LLMs, SLMs, RAG, Knowledge Graphs, MCP and advanced AI workflows. As an architect in our fast-paced startup, you'll directly code, mentor, grow the engineering team, and ensure alignment of development practices with industry standards, best practices, and architectural vision.

Key Responsibilities:

•                Technical Architecture Ownership:

o               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.

o               Develop detailed solution blueprints, patterns, and architectural standards for multi-agent orchestration and workflow automation.

•                Hands-on Engineering Leadership:

o               Actively participate in coding, prototyping, and hands-on development, particularly in early stages of product and feature development.

o               Contribute directly to critical components involving LangChain, LangGraph, Hugging Face, vector databases, AI-powered agents and of various AI/ML tools.

o               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:

o               Mentor, groom, and expand technical leads and engineers, fostering innovation, autonomy, and accountability.

o               Ensure technical teams adhere to the defined architectural standards, AI solutioning best practices, and technical roadmaps.

•                Stakeholder Engagement & Cross-Team Collaboration:

o               Collaborate closely with Product, Delivery, and client-facing teams to translate business objectives into technical deliverables.

o               Clearly communicate architectural strategies, trade-offs, and technical decisions to both technical and non-technical stakeholders.

•                Best Practices & Standards Enforcement:

o               Drive adoption of best practices in software and AI architecture, scalability, maintainability, and performance optimization.

o               Ensure alignment with Responsible AI guidelines and regulatory standards.

Required Qualifications:

•                7+ 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:

o               Generative AI & Multi-Agent Systems: Integration and orchestration using frameworks such as LangChain, LangGraph, Hugging Face, or equivalent.

o               AI Integration & Workflows: LLM & SLM integrations, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Prompt Engineering, MCP, A2A, Guardrails.

o               Data Pipelines & AI Integrations: Robust pipeline design for seamless data ingestion, transformation, and model integration.

o               Voice and Speech Technologies: Voice Agents, Speech-to-Text, Text-to-Speech, Realtime Speech-to-Speech solutions.

o               Vector Databases: PgVector, Pinecone, Milvus, Neo4j, or similar solutions.

o               Backend Development & APIs: Python, Node.js, Microservices, REST/WebSocket APIs.

o               Infrastructure & Cloud: AWS/Google Cloud Platform/Azure, Kubernetes, Docker, CI/CD, Terraform.

 Personal Attributes:

•                Passionate about emerging Generative AI technologies and keen on continuous learning.

•                Comfortable engaging in hands-on coding as well as high-level architectural design.

•                Excellent communicator, capable of clearly explaining complex technical concepts across diverse audiences.

•                Proven ability to lead and mentor technical teams, particularly in dynamic startup settings.

•                Highly collaborative, proactive, adaptable, and accountable.

Why Join Us?

•                Opportunity to shape the next generation of GenAI and Multi-Agent orchestration platforms.

•                Dynamic startup environment providing substantial opportunities for growth, ownership, and innovation.

•                Collaborative and driven culture working alongside industry experts in AI/ML.