Description About the Role The AI Technical Architect operates at the intersection of strategy and execution — acting as both a Strategist , shaping the long-term technical vision for AI adoption, and an

Orchestrator , coordinating people, systems, and processes to turn that vision into working solutions. This role is central to designing, scaling, and governing AI and Agentforce-driven architectures across the delivery organization, ensuring technical decisions align with business outcomes and customer value.

Key Responsibilities

Strategist Mindset

- Define and evolve the technical architecture strategy for AI initiatives, aligning with broader business and platform roadmaps.
- Evaluate emerging AI technologies (LLMs, agentic frameworks, automation platforms) and recommend where they create differentiated value.
- Partner with delivery, product, and engineering leadership to translate business goals into scalable, secure, and maintainable AI architectures.
- Establish architectural standards, patterns, and best practices for AI solution design across teams.
- Assess technical risk, feasibility, and total cost of ownership for proposed AI initiatives.

Orchestrator Mindset

- Coordinate cross-functional teams (engineering, data, product, delivery) to ensure AI solutions are designed, built, and deployed cohesively.
- Serve as the technical glue between strategy and execution — ensuring architecture decisions are implemented consistently across squads and projects.
- Facilitate technical governance forums, architecture reviews, and design decision checkpoints.




- Drive alignment between multiple parallel AI workstreams, resolving dependencies and technical conflicts.
- Mentor and enable technical teams and solution architects on AI-first design principles.

Delivery & Governance

Builder Mindset

- Ship working AI solutions hands-on — prototype, build, and iterate quickly rather than only designing on paper.
- Take ideas from concept to production, personally building agents, automations, and integrations when needed to prove value rapid.
- Champion a bias for action: favor working demos and MVPs over long design documents.
- Continuously experiment with new AI tools and techniques, bringing working proofs-of-concept back to the team.
- Balance speed of shipping with architectural soundness, ensuring builds are scalable beyond the prototype stage.
- Own end-to-end technical quality of AI solutions from design through production readiness.
- Define and monitor architecture health metrics (scalability, reliability, cost-efficiency, security posture).
- Ensure compliance with data governance, responsible AI, and security standards across all AI implementations.
- Provide technical escalation support for complex AI/architecture issues across the portfolio.

Required Qualifications





- 10+ years of experience in software/solution architecture, with demonstrated depth in AI/ML or agentic systems architecture.
- Proven experience architecting and delivering enterprise-scale AI solutions (e.g., LLM-based systems, automation platforms, Agentforce, or equivalent).
- Strong grasp of cloud-native architecture, integration patterns, and platform scalability principles.
- Demonstrated ability to operate as both a strategic thinker and hands-on technical orchestrator across multiple teams.
- Experience with Salesforce platform architecture is highly valued.
- Excellent stakeholder management and communication skills — able to translate technical concepts for both technical and non-technical audiences.

Preferred Qualifications

- Salesforce Certified Technical Architect (CTA) or equivalent architecture certification.
- Experience leading AI governance, responsible AI, or AI risk frameworks.
- Track record of mentoring architects and senior engineers.
- Exposure to multi-org, multi-cloud, or complex enterprise topology environments.
- Hands-on experience building and deploying AI agents (e.g., Agentforce, custom agent frameworks) in real-world settings.
- Practical experience with AI tools such as Gemini, Cursor, and Claude for coding, prototyping, or workflow automation.
- Familiarity with prompt engineering, LLM orchestration, and agentic tool-use patterns.
- Comfortable working directly in code/config to build and ship — not purely a design-and-document architect.

📌 Agentforce Technical Architect( Salesforce exp is a must) (Hyderabad)
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📍 Hyderabad