AI Technical Architect( Salesforce exp is a must)

Leadout Capital; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Leadout Capital seeks an AI Technical Architect to shape the long-term technical vision for AI adoption and to orchestrate cross-functional teams to deliver scalable, secure AI architectures. The role blends strategic thinking with hands-on prototyping of agents, automations, and integrations, driving speed without compromising architectural integrity.

You will define standards, evaluate emergent AI technologies, and mentor architects across squads while ensuring governance and data security

Qualifications

• 10+ years of experience in software/solution architecture with depth in AI/ML or agentic systems architecture.
• Experience architecting and delivering enterprise-scale AI solutions (LLM-based systems, automation, Agentforce).
• Strong grasp of cloud-native architecture, integration patterns, and scalability.

Responsibilities

• Define and evolve the technical architecture strategy for AI initiatives, aligning with roadmaps.
• Evaluate emerging AI technologies and recommend differentiated value.
• Partner with leadership to translate business goals into scalable AI architectures.
• Establish architectural standards, patterns, and best practices for AI design.
• Assess technical risk, feasibility, and total cost of ownership for AI initiatives.
• Coordinate cross-functional teams to ensure AI solutions are designed, built, and deployed cohesively.
• Serve as the technical glue between strategy and execution across squads and projects.
• Facilitate governance forums, architecture reviews, and design decision checkpoints.
• Drive alignment between multiple AI workstreams and resolve dependencies.

Skills

AI/ML architecture

Cloud-native architecture

Stakeholder management

Hands-on coding

Architectural governance

Mentoring

Multi-cloud experience

Education

Salesforce CTA (Cert. Tech Architect)

Tools

Gemini

Cursor

Claude

Agentforce

Job description

The Experience

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.

What You'll Actually Be Doing

• 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.
• 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.
• 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 fast.
• 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.

You're Our Person If...

• 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.

Even Better If...

• 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.