Technical Architect
Technical Architect
Posted on :
04-07-2025
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1 Vacancy
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Job Description
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.
Requirements
- 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 relatedtechnical fields.
- Background in building AI solutions for enterprise-scale use cases with demandingreal-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 Microservices REST/WebSocket APIs.
- Infrastructure & Cloud: AWS/GCP/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.
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, , Microservices, REST/WebSocket APIs. Infrastructure & Cloud: AWS/GCP/Azure, Kubernetes, Docker, CI/CD, Terraform.
Employment Type
Full Time
Key Skills
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