Senior Solution Architect – Agentic Sales Technology

100 Salesforce, Inc.; Indianapolis (IN); On-site; USD 140,000 - 190,000; Full time

Job summary

Salesforce, Inc. in Indianapolis, IN seeks a Senior Solution Architect who blends business process insight with hands-on engineering leadership.

You will architect agentic selling pipelines, layer AI tooling into live systems, and drive observable, scalable improvements across Sales Cloud, Data Cloud, and CRM workflows. You will operate without direct reports but influence across an architecture organization, deliver rapid value, and ensure coherence among multiple agentic tools while

Qualifications

• 10+ years of software engineering experience with Salesforce at scale.
• Proven ability to simplify business processes before applying technology.
• Strong proficiency in agentic architecture: multi-agent orchestration, context engineering, LLM integration, agent lifecycle management.
• Exceptional communication bridging engineers and business partners.

Responsibilities

• Own the architectural foundation for agentic selling across the full marketing-to-sales pipeline.
• Lead incremental transformation by layering agentic tooling into live systems with measurable impact.
• Define and track architectural success metrics such as agent-driven pipeline lift and routing accuracy.
• Assess current multi-technology landscape to identify conflicts, dependencies and gaps.
• Design production-grade multi-agent orchestration patterns with observable behavior.
• Refactor lead routing, territory assignment, and CRM workflows incrementally for agent-scale throughput.
• Develop context engineering strategies to provide agents with reliable grounding and memory.

Skills

Salesforce expertise

Agentic architecture

Multi-agent orchestration

LLM integration

Data Cloud familiarity

Cross-functional communication

Tools

Sales Cloud

Data Cloud

Agentforce

Cursor

Claude Code

Codex

Snowflake

Job description

The Experience

We're looking for a Senior Solution Architect who operates at the intersection of deep business process intuition and hands-on agentic engineering. This is a senior individual contributor role operating at director level - you will be a hands-on technical leader who builds, ships, and influences at scale without relying on organizational authority. You will not have direct reports, but your impact will be felt across an architecture organization. You think strategically and execute rapidly, often in the same week. The core mandate of this role is incremental transformation of prospect management - from lead generation and qualification through lead management and opportunity progression. This pipeline was architected for human-scale workflows, and the business expectation is clear: rapidly layer in new agentic tooling (Salesforce on Salesforce), measure impact, innovate, and iterate. You won't be rebuilding from scratch - you'll be threading intelligent agents into a live, complex system while keeping it moving. That requires as much judgment as it does technical skill. Wherever there is an opportunity to apply agentic AI to transform a business process, your first question on every engagement is always: does this process make sense before we agentify it? You'll bring coherence to a multi-technology landscape where multiple agentic tools are being implemented simultaneously - ensuring that buyer engagement agents, conversational sales agents, and the underlying CRM and routing infrastructure form a coherent, observable, and scalable whole. This role sits at the intersection of three organizational pillars - Sales Technology, Digital Marketing, and Data Solutions - and operates as a key architectural partner across all three. You will be accountable for E2E outcomes while holding direct responsibility for the architectural and technology components that live in CRM. Strong cross-pillar collaboration is not optional; it's how this role delivers.

What You'll Actually Be Doing...

Agentic Architecture & Incremental Transformation

• Own the architectural foundation for agentic selling across the full marketing-to-sales pipeline - lead generation, lead qualification, lead management, and opportunity progression
• Drive an incremental transformation approach: layer agentic tooling into live systems deliberately, instrument for impact, and create tight feedback loops for innovation and iteration
• Define and track meaningful architectural success metrics - including agent-driven pipeline conversion lift, lead qualification rates, routing accuracy, and agent deflection/escalation patterns
• Assess and rationalize the current multi-technology landscape, identifying conflicts, dependencies, and integration gaps
• Design multi-agent orchestration patterns that are coherent, observable, and production-grade - not prototypes layered on existing systems
• Ensure lead routing, territory assignment, and CRM workflows are refactored - incrementally - to support agent-scale throughput and decision-making
• Lead context engineering practices - designing the information architecture, retrieval strategies, and grounding mechanisms that give agents the right context to act reliably and accurately
• Define agent lifecycle management practices: design, testing, iteration, observability, and governance from prototype through production

Agentic Builder - Design & Build

• Assess and simplify business processes before applying technology; show the business a working prototype within days on fast-twitch engagements
• Develop and Apply agentic architecture patterns that apply across the the full Prospect-to-Cash domain
• Design context engineering strategies - information architecture, grounding, memory patterns, and retrieval design - that give agents the right context to act reliably
• Define agent lifecycle practices: design, testing, iteration, observability, and governance from prototype through production
• Codify architecture patterns and best practices directly into tooling so they travel with the work, not sit in a document

Forward-Looking Architecture

Serve as an early architectural point of view across multiple initiatives, technology, product innovations. Serve as a trusted advisor to the Product, Engineering organization as well as Senior Leadership to navigate through ambiguity. Engage across initiatives of all scales, bringing the right level of architectural rigor to each - from rapid prototyping engagements to complex, multi-system programs For complex enterprise programs, break down intake requests to achieve incremental outcomes, minimize dependencies, and reduce downstream cost and risk - this is where judgment about what not to build matters as much as what to build. Identify and escape process or data blockers that will slow agentic transformation; make them visible rather than working around them. Act as connective tissue between fast-moving squads and the domain teams that own core business technology - ensuring fast-moving work lands on solid architectural ground. Strategic Influence, Rapid Validation Approach every engagement with a strategic lens - understand the business outcome before proposing a technical direction. Validate with the business first, use AI to generate evidence of value quickly, then scale. Accelerate business analysis and decision-making by applying AI - reducing the time between a question and a validated answer from weeks to days. Work with one empowered business decision-maker per engagement, not a committee. Influence enterprise architecture direction on complex programs where the fast-twitch model isn't appropriate, without losing the bias for action.

AI-Native Ways of Working (AIDLC)

Practice AIDLC daily - Cursor, Claude Code, and Codex are your default toolchain, not optional accelerators. Help establish AIDLC standards across the broader engineering team: AI-assisted architecture review, AI-generated documentation, AI-augmented testing, agent-assisted delivery workflows. Codify best practices into shared context files, spec markdowns, and harness configuration - source-controlled and accessible to the whole team. Make your work discoverable and reusable by default; contribute to knowledge sharing across squads continuously. Process-First, Business-Embedded: Sit close enough to users and business partners to feel what they feel - user empathy is a prerequisite, not a nice-to-have. Assess and challenge underlying business processes before agentifying them - simplification is often more valuable than automation. Participate in outcome-based accountability cadences - be prepared to answer: what did the business get from their investment this week? Treat failure as data: take intentional action, learn fast, and adjust.

Enterprise Architecture Influence

Provide architectural POVs on complex, highly integrated programs where fast-twitch pace isn't appropriate. Apply AI to accelerate business analysis and decision-making even when the delivery model is more traditional. Ensure agentic components being built on fast-twitch engagements are architecturally compatible with core enterprise systems they'll eventually integrate with. Influence data architecture and integration strategy across Salesforce Sales Cloud, Agentforce, Data Cloud, and Snowflake.

You're Our Person If...

• 10+ years of software engineering experience, with 5+ years building Salesforce solutions at scale
• Builder-architect mindset - you design and build in the same iteration; you are comfortable owning both the POV and the proof
• Proven ability to assess and simplify business processes before applying technology - process-first is non-negotiable
• Broad Prospect-to-Cash domain knowledge preferred - pattern recognition across lead management, opportunity management, quoting, ordering, and renewals; you don't need to be a deep expert in every area, but you need to plug in quickly and credibly
• Demonstrated learning agility - a track record of coming up to speed rapidly on both unfamiliar business domains and new technical paradigms; the ability to go from zero context to credible POV in days, not weeks
• Strong proficiency in agentic architecture: multi-agent orchestration, context engineering, LLM integration, agent lifecycle management
• Hands-on experience with AI-native development tooling (Cursor, Claude Code, Codex) - practiced, not theoretical
• Strategic thinker who executes - comfortable holding a long-term POV while delivering working software in days
• Comfort operating across initiative scales - from focused two-week sprints to multi-quarter enterprise programs
• Ability to codify patterns into tooling, not just documentation
• Strong proficiency in Salesforce platform: Sales Cloud, Agentforce, Data Cloud
• Expertise in software architecture patterns: microservices, event-driven, distributed systems
• Exceptional communication - equally fluent with engineers and business partners
• High agency, low ego - failure is data, not identity

Even Better If...

• Experience building large-scale Salesforce implementations spanning multiple clouds and integration layers - including data modeling, security model design, and cross-org architecture
• MuleSoft - experience designing integration architectures for P2C data flows (lead handoffs, order sync, entitlement propagation) using API-led connectivity and event-driven patterns
• Agentforce platform depth - hands-on experience building custom agents using Agent Builder, defining agent topics and actions, grounding agents with Data Cloud Retrieval Augmented Generation (RAG), and deploying agents across Sales Cloud surfaces (Einstein Copilot, Service Cloud, Slack)
• Data Cloud - experience modeling unified customer profiles (Individual, Contact Point, Engagement), building calculated insights and segmentation for agent grounding, and configuring Data Cloud activations that feed downstream agent actions
• Knowledge of best practices for MCP (Model Context Protocol)