AI Architect – Enterprise Strategy

Kognitiv Inc.; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Kognitiv Inc. is seeking an AI Architect to lead technical executions of AI engagements, transforming strategic visions into production-grade systems. With a focus on MLOps best practices, you will serve as a trusted advisor, helping clients innovate using cutting-edge technology.

Ideal candidates will have extensive experience in AI/ML, strong Python skills, and a profound understanding of autonomous agent architectures. The role demands a bridge between technology and business, ensuring that complex designs are clear and valuable to stakeholders.

Qualifications

• 6–10 years of experience in technical consulting, software engineering, or AI/ML roles.
• Proficiency in Python and related frameworks like LangChain and LlamaIndex.
• Experience with cloud AI/ML services from a major provider like AWS or Azure.

Responsibilities

• Lead technical execution of AI engagements for autonomous agent systems.
• Serve as a technical advisor, facilitating client workshops on AI strategies.
• Implement MLOps best practices focusing on ethical outcomes.

Skills

Technical consulting

Software engineering

AI/ML roles

Python

LangChain

Autonomous agent architecture

MLOps best practices

Tools

AWS Bedrock

Azure OpenAI

Salesforce

Flowise

Job description

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. We build better Workday solutions while nurturing a people‑first culture. This AI Architect role lies at the intersection of cutting‑edge technology and enterprise transformation.

What You’ll Do

• Architect & Build the Future: You lead technical execution of AI engagements, transforming strategic vision into production‑grade autonomous agent systems using LLMs, vector databases, and orchestration frameworks.
• Shape Client AI Strategies: You serve as trusted technical advisor to executive stakeholders, facilitating workshops that cut through AI hype, helping clients identify high‑value use cases, navigate data readiness, and map scalable MLOps roadmaps.
• Govern & Scale Responsibly: You implement cutting‑edge MLOps best practices, focusing on observability, rigorous testing, and QA to mitigate bias and hallucinations, ensuring outputs are safe, ethical, and value‑driven.
• Integrate & Innovate: You deploy sophisticated models within major enterprise ecosystems (AWS Bedrock, Azure OpenAI) and weave them seamlessly into core business platforms like Salesforce and Workday.
• Push the Boundaries: You spend time in the lab, testing new builder tools, frameworks, and low‑code/no‑code platforms (such as Flowise) to keep clients ahead of the curve.

Who You Are

• A Proven Builder: You have 6–10 years of experience spanning technical consulting, software engineering, or AI/ML roles, with a track record of deploying real‑world GenAI applications.
• An Agent Orchestrator: You deeply understand autonomous agent architecture—reasoning, tool‑use, and planning.
• A Python & Framework Expert: Python is your native language, and you are highly proficient with LangChain, LlamaIndex, AutoGen, or similar frameworks.
• Cloud Fluent: You have hands‑on experience leveraging AI/ML services across at least one major cloud provider (AWS, Azure, or GCP).
• The Ultimate Translator: You bridge the gap between deep tech and business value, making complex architecture understandable and exciting to non‑technical stakeholders.

Equal Opportunity Employer: All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.