Artificial intelligence Machine learning architect

Company Description

Our client is an upcoming Enterprise AI led Solutions and Services transformation organisation

Role Description

• They 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 workow 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 workows. 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 workow 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 de1ned 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-o3s, 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 Quali,cations:



10+ years of hands-on experience in Software Development and

Solution Architecture, including signi1cant experience architecting

AI-powered solutions.



Bachelor's or Master's degree in Computer Science, AI, Engineering,

or related technical 1elds.



Background in building AI solutions for enterprise-scale use cases

with demanding real-time or high-performance requirements.



Track record of working e3ectively 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 & Work2ows: 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, ,

Microservices, REST/WebSocket APIs.

o

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.

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