AI Business Architect

UST; Bangalore Rural; On-site; INR 2,500,000 - 3,600,000; Full time

Job summary

UST in Bangalore is seeking an AI Business Architect with 8+ years of experience to drive design and implementation of AI agents, bots, and enterprise AI solutions. You will translate business needs into technical roadmaps, manage vendor engagements, and lead adoption across the organization.

Strong English communication and the ability to present to executives are essential. Expect ownership of architecture, security considerations, and scalable AI deployments in a fast-paced environment.

Qualifications

• Deep understanding of AI agents, bots, and applications including GenAI/LLM concepts, RAG, and agentic workflows.

Responsibilities

• Own business/vendor relationships for enterprise AI agents and orchestration platforms.
• Develop adoption strategies and end-user onboarding at scale.
• Create compelling business cases and executive demonstrations.

Skills

AI agent design

GenAI/LLM concepts

Rapid prototyping AI solutions

Security & scalability testing

Requirements → roadmap

Executive communication

Stakeholder management

AI ecosystems familiarity

Job description

Hiring for AI Business Architect for Bangalore location

Exp: 8+years

Skill

• Deep understanding of building AI agents, bots, and applications, including GenAI/LLM concepts, RAG, and agentic workflows sufficient to assess feasibility and guide solution design.
• Demonstrated hands-on ability to rapidly prototype working AI solutions using AI-assisted/“vibe” coding tools (e.g., LLM-based coding assistants) — not just facilitate workshops or write strategy documents.
• Working knowledge of how to harden, secure, and scale-test an AI prototype (authentication, data handling, basic security review, load/scale considerations) sufficient to take ownership of this when needed.
• Proven experience translating ambiguous business needs into structured technical requirements and roadmaps.
• Exceptional English verbal communication and executive presentation skills — able to understand, negotiate, convince, and clearly articulate complex AI concepts to non-technical and senior stakeholders.
• Strong stakeholder management, facilitation, and negotiation skills; comfortable resolving scope, ownership, and prioritization disputes.
• Experience driving technology adoption/change management within a business organization (advocacy, enablement, training).
• Ability to build and deliver compelling business cases and demonstrations to executive audiences.
• Hands-on proficiency with modern AI coding/agent ecosystems — some or all of: OpenAI ecosystem, Anthropic ecosystem, Google Gemini ecosystem, Snowflake CortexAI, TrueFoundry, Abacus.ai, Cursor, Microsoft AI ecosystem (Copilot/Azure AI), and/or similar AI ecosystems. Breadth across multiple ecosystems is expected; depth in every single one is not required, but familiarity with none of them is not acceptable for this role.
• Proven experience owning the business/vendor-relationship side of an enterprise AI agent or orchestration platform — e.g., OpenAI, Anthropic, Google Gemini Enterprise, Snowflake CortexAI, TrueFoundry, Abacus.ai, Microsoft AI ecosystem, and/or similar — including vendor engagement, adoption strategy, and end-user onboarding at company scale.

Preferred Skills & Experience (Nice-to-Have)

• Experience creating adoption playbooks, reusable discovery methods, or executive demonstration formats.
• Familiarity with responsible-AI principles and basic compliance/security considerations sufficient to incorporate them early in discovery.