Generative Ai Architect - Ai/ML

Role: Generative Ai Architect

Location: Bangalore

Experience: 13 to 15 Years Only

Educational Qualification: B.Tech/B.E/MCA/M.Tech

Job Details

As a Seniority Level 7 Agentic Architect at Accentureequivalent to Manageryoull be responsible for leading the design and rollout of autonomous AI solutions built on agentic architectures to solve complex business problems. Your duties involve building scalable and intelligent agents powered by generative AI, integrating these systems with enterprise platforms, and working closely with teams across different disciplines. Youll ensure that your solutions support client objectives, manage deployments in dynamic environments, mentor junior colleagues, help shape strategic direction, and oversee projects to guarantee AI implementations are ethical, secure, and efficient.

Key Responsibilities

• Work with generative AI technologies, including large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents.
• Design and implement multi-agent systems to address complex, multi-step problems using collaborative approaches.
• Deploy scalable AI solutions leveraging leading cloud platforms such as AWS, Azure, and Google Cloud, integrating with APIs and external tools.
• Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes.
• Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
• Lead AI projects through all phases: requirements gathering, architecture design, implementation, and performance optimization.

Core Technical Skills

1. Software Architecture & System Design

Microservices and modular architecture

Event-driven and message-passing systems

Scalability, reliability, and fault tolerance design

2. AI & LLM Foundations

Understanding large language models (LLMs) and multimodal models

Prompt engineering and structured prompting

Knowledge of fine-tuning, embeddings, and retrieval-augmented generation (RAG)

3. Agentic Orchestration

Frameworks like LangChain, Crew AI, Semantic Kernel,Langgraph

Multi-agent coordination strategies (collaboration, delegation, planning,

negotiation)

Workflow orchestration (DAGs, state machines, planners)

4. Tool Integration

API design and integration for agent tooling

Connecting agents with databases, APIs, and enterprise systems

Knowledge of vector databases ( cloud or on prem)

5 Infrastructure & MLOps

Deployment & Scaling

Cloud platforms (AWS, Azure, GCP)

Containerization & orchestration (Docker, Kubernetes)

Serverless and edge AI architectures

6. Monitoring & Observability

Logging, tracing, and monitoring agent behavior

Feedback loops for continuous improvement

Guardrails, evaluation frameworks, and human-in-the-loop systems

7. Security & Governance

AI Safety & Risk Management

Guardrails against hallucinations, prompt injection, and data leakage

Access control and role-based agent permissions

Compliance with regulations (GDPR, SOC2, AI Act)

Strategic Thinking

8. Product & Business Alignment

Translating business needs into agentic workflows

Identifying high-value use cases for autonomous systems

9. Collaboration & Communication

Working across AI/ML, engineering, and product teams

Explaining architecture trade-offs to stakeholders

10. Innovation & Foresight

Staying updated on evolving agent frameworks and AI capabilities

Experimentation mindset for rapidly testing new agent behaviors

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is required.
• Master's degree in Machine Learning, AI, or a quantitative discipline is preferred.
• Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are considered advantageous.

Preferred Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and leadership skills, with a proven track record of project ownership.
• Passion for innovation and staying current with evolving AI technologies.