AI Architect – Enterprise Strategy at Kognitiv Inc.

, delhi, Spain -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

0.0

Posted On

28 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Autonomous Agent Architecture, Python, LangChain, LlamaIndex, AutoGen, AWS Bedrock, Azure OpenAI, Vector Databases, MLOps, Technical Consulting, Enterprise Strategy

Industry

IT Services and IT Consulting

Description

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. We aren’t just talking about the AI revolution—we are actively architecting it. As an AI Architect, you won't just be advising clients from the sidelines; you will be the mastermind designing and building the custom Generative AI strategies and autonomous agent ecosystems that redefine how Fortune 500 companies operate. This is a high-impact, client-facing role where deep technical craft meets elite business strategy. If you love the challenge of translating complex enterprise problems into sophisticated, multi-step agent workflows—and then actually building them—this is your playground. What You’ll Do 🛠️ Architect & Build the Future: You will lead the hands-on technical execution of AI engagements. You’ll transform strategic vision into production-grade autonomous agent systems, architecting complex workflows using the latest LLMs, Vector Databases, and orchestration frameworks. 💡 Shape Client AI Strategies: You will serve as the trusted technical advisor to executive stakeholders. You’ll facilitate workshops that cut through the AI hype, helping clients identify high-value use cases, navigate data readiness, and map out scalable MLOps roadmaps. 🛡️ Govern & Scale Responsibly: Enterprise AI demands bulletproof reliability. You will implement cutting-edge MLOps best practices, focusing on observability, rigorous testing, and QA to mitigate bias and hallucinations, ensuring AI outputs are safe, ethical, and value-driven. 🌐 Integrate & Innovate: You’ll deploy sophisticated models within major enterprise ecosystems (AWS Bedrock, Azure OpenAI) and seamlessly weave them into core business platforms like Salesforce and Workday. 🚀 Push the Boundaries: The AI landscape changes daily. You will spend time in the lab, testing new builder tools, frameworks, and low-code/no-code platforms (like Flowise) to keep our firm and our 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 aren't just hitting an API endpoint. 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 have the rare ability to bridge the gap between deep tech and business value, making complex architecture understandable and exciting to non-technical stakeholders. Pay Transparency Statement Kognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package, please visit our careers website. Kognitiv is an 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. Work Authorization Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv. Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration. Estimated Application Deadline This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting. 2026-07-12 #LI-KB1 The founders and consultants of Kognitiv live and breathe Workday®. We understand that going live with your new system is just the first step in a long partnership with Workday® and its ecosystem. Implementations are fast and furious, with work like reports, dashboards, and knowledge transfer often postponed until after a go-live. In some cases, your implementation partner has already moved on to its next project. This is why Kognitiv exists: to bridge the gap for those clients wanting to better maintain and enhance their system post a go-live.

Responsibilities

Lead the technical design and execution of production-grade autonomous agent systems and Generative AI strategies for Fortune 500 clients. Act as a technical advisor to executives to identify high-value AI use cases and implement scalable MLOps roadmaps.