01 Aug
|
Recognized
|
Chennai
01 Aug
Recognized
Chennai
Role Overview
We are looking for a highly experienced Senior AI
Solutions Architect / AI Lead to design and deliver advanced AI and
Generative AI solutions for complex business problems. This role requires
strong expertise in multi -agent AI architectures, GenAI frameworks, and
production -grade AI systems.
The ideal candidate will lead the end -to -end
lifecycle of AI solutions—from stakeholder discussions and
conceptualization to Proof of Concept (PoC), architecture design, and
deployment at scale. The role also involves supporting pre -sales activities,
guiding engineering teams, and ensuring solutions are robust, scalable, and
production -ready.
Work Location: Chennai (Hybrid) – 3 days at office
and 2 days at home (11 AM – 8 PM)
Key Responsibilities
- Own
and drive AI solution architecture and delivery from stakeholder
engagement and ideation through PoC development and full -scale production
deployment.
- Collaborate
with business stakeholders to understand requirements, identify
opportunities, and design AI -driven solutions.
- Rapidly
build Proof of Concepts (PoC) and feasibility prototypes to
validate technical approaches and business value.
- Support pre -sales initiatives, including solution proposals, architecture
presentations, and customer engagements.
- Design
and produce technical solution artifacts such as architecture
documents, design specifications, and implementation guidelines.
- Lead
engineering teams to build, scale, and productionize AI solutions using modern AI/ML frameworks and cloud platforms.
- Establish
best practices for AI system architecture, governance, monitoring, and
evaluation.
- Drive
innovation by tracking emerging AI/ML technologies and integrating
relevant advancements into solutions.
- Mentor
technical teams and ensure the adoption of scalable, maintainable, and
high -quality engineering practices.
Key Skills & Technical Expertise
AI & Generative AI
- Hands -on
experience designing and developing Multi -Agent AI systems to solve
complex business problems.
- Experience
with Agent frameworks and protocols including Agent SDK, A2A
(Agent -to -Agent), and MCP (Model Context Protocol).
- Expertise
in Generative AI solution architecture, including:
- Retrieval -Augmented
Generation (RAG)
- Agentic
RAG
- Vector
Databases
- Agentic
Patterns (Planner, Orchestrator, Tool Use, Multi -Agent Collaboration)
Large Language Models
- Experience
with fine -tuning and customizing LLMs such as Mistral,
Ollama -based models, or similar open -source models using
domain -specific datasets.
- Strong
understanding of prompt engineering, LLM optimization, and evaluation
frameworks.
AI System Evaluation & Operations
- Experience
in designing evaluation frameworks and AgentOps pipelines for
monitoring, optimizing, and managing Agentic AI systems in production.
Machine Learning & Deep Learning
- Experience
building and training Artificial Neural Networks (ANNs) for:
- Natural
Language Processing (NLP)
- Computer
Vision
- Predictive
modeling
- Hands -on
experience with Object Detection models, Transformer architectures, and
predictive ML models.
Software Engineering &
Infrastructure
- Solid Python development and system design expertise.
- Experience
building scalable microservices architectures.
- Hands -on
experience with Docker and Kubernetes for containerization and
orchestration.
- Experience
deploying and managing AI workloads on cloud platforms such as AWS or
Azure
Education: Any Graduate / Post Graduate in Engineering degree or equivalent