{"id":1421022,"url":"https://alion.io/job/salesforce-senior-solution-architect-agentic-sales-technology","title":"Senior Solution Architect – Agentic Sales Technology","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":389,"ghost_share":0.01,"stale_share":0.586,"repost_share":0.049,"time_to_fill_p50_days":22,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indianapolis, United States","Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":141000,"max_usd":272000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":672},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Cursor","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"A2A","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apex","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Copilot","optional":true},{"name":"Hallucination","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"MuleSoft","optional":true},{"name":"RAG","optional":true},{"name":"Slack","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-28T22:22:12Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-12T20:53:02Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.\nJob Category\nSoftware EngineeringJob Details\nAbout Salesforce\nSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.\nReady to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.\nThe Experience\nWe'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.\nThe 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?\nYou'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.\nThis 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.\nThis role oscillates between two modes. In fast-twitch mode, you're supporting small, focused squads - simplifying the process, and getting a working prototype in the hands of users within days, making key architectural decisions that set the squad up for delivering a successful business outcome. You're not waiting for alignment; you're generating it through working software. In slow-burn mode, you're providing early architectural points of view on complex enterprise systems that don't fit the fast-twitch pace model - influencing the direction of large, integrated programs where the cost of getting the architecture wrong compounds over time. Strategic thinking and rapid execution are both required; this role demands you bring both, calibrated to the situation.\nYou'll work across initiatives of varying scale and complexity - from focused two-week sprints to multi-quarter enterprise programs - and your job is to bring the right architectural posture to each one. Speed of learning and speed of shipping are equally important here - rapid learning is what makes rapid delivery sustainable.\nEqually important: this role advances how we build. You'll practice and model an AI-native development lifecycle (AIDLC) - using Cursor, Claude Code, and Codex not as productivity shortcuts but as a fundamentally different way of working. Architecture patterns, best practices, and compliance checks should be baked into the tooling, not left to individual teams to figure out.\nWhat You’ll Actually Be Doing...\nAgentic Architecture & Incremental Transformation\nOwn the architectural foundation for agentic selling across the full marketing-to-sales pipeline - lead generation, lead qualification, lead management, and opportunity progression\nDrive an incremental transformation approach: layer agentic tooling into live systems deliberately, instrument for impact, and create tight feedback loops for innovation and iteration\nDefine and track meaningful architectural success metrics - including agent-driven pipeline conversion lift, lead qualification rates, routing accuracy, and agent deflection/escalation patterns\nAssess and rationalize the current multi-technology landscape, identifying conflicts, dependencies, and integration gaps\nDesign multi-agent orchestration patterns that are coherent, observable, and production-grade - not prototypes layered on existing systems\nEnsure lead routing, territory assignment, and CRM workflows are refactored - incrementally - to support agent-scale throughput and decision-making\nLead context engineering practices - designing the information architecture, retrieval strategies, and grounding mechanisms that give agents the right context to act reliably and accurately\nDefine agent lifecycle management practices: design, testing, iteration, observability, and governance from prototype through production\nAgentic Builder - Design & Build\nAssess and simplify business processes before applying technology; show the business a working prototype within days on fast-twitch engagements\nDevelop and Apply agentic architecture patterns that apply across the the full Prospect-to-Cash domain\nDesign context engineering strategies - information architecture, grounding, memory patterns, and retrieval design - that give agents the right context to act reliably\nDefine agent lifecycle practices: design, testing, iteration, observability, and governance from prototype through production\nCodify architecture patterns and best practices directly into tooling so they travel with the work, not sit in a document\nForward-Looking Architecture\nServe 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.\nEngage across initiatives of all scales, bringing the right level of architectural rigor to each - from rapid prototyping engagements to complex, multi-system programs\nFor 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\nIdentify and escalate process or data blockers that will slow agentic transformation; make them visible rather than working around them\nAct 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\nStrategic Influence, Rapid Validation\nApproach every engagement with a strategic lens - understand the business outcome before proposing a technical direction\nValidate with the business first, use AI to generate evidence of value quickly, then scale\nAccelerate business analysis and decision-making by applying AI - reducing the time between a question and a validated answer from weeks to days\nWork with one empowered business decision-maker per engagement, not a committee\nInfluence enterprise architecture direction on complex programs where the fast-twitch model isn't appropriate, without losing the bias for action\nAI-Native Ways of Working (AIDLC)\nPractice AIDLC daily - Cursor, Claude Code, and Codex are your default toolchain, not optional accelerators\nHelp establish AIDLC standards across the broader engineering team: AI-assisted architecture review, AI-generated documentation, AI-augmented testing, agent-assisted delivery workflows\nCodify best practices into shared context files, spec markdowns, and harness configuration - source-controlled and accessible to the whole team\nMake your work discoverable and reusable by default; contribute to knowledge sharing across squads continuously\nProcess-First, Business-Embedded\nSit close enough to users and business partners to feel what they feel - user empathy is a prerequisite, not a nice-to-have\nAssess and challenge underlying business processes before agentifying them - simplification is often more valuable than automation\nParticipate in outcome-based accountability cadences - be prepared to answer: what did the business get from their investment this week?\nTreat failure as data: take intentional action, learn fast, and adjust\nEnterprise Architecture Influence\nProvide architectural POVs on complex, highly integrated programs where fast-twitch pace isn't appropriate\nApply AI to accelerate business analysis and decision-making even when the delivery model is more traditional\nEnsure agentic components being built on fast-twitch engagements are architecturally compatible with core enterprise systems they'll eventually integrate with\nInfluence data architecture and integration strategy across Salesforce Sales Cloud, Agentforce, Data Cloud, and Snowflake\n You’re Our Person If...\n10+ years of software engineering experience, with 5+ years building Salesforce solutions at scale\nBuilder-architect mindset - you design and build in the same iteration; you are comfortable owning both the POV and the proof\nProven ability to assess and simplify business processes before applying technology - process-first is non-negotiable\nBroad 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\nDemonstrated 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\nStrong proficiency in agentic architecture: multi-agent orchestration, context engineering, LLM integration, agent lifecycle management\nHands-on experience with AI-native development tooling (Cursor, Claude Code, Codex) - practiced, not theoretical\nStrategic thinker who executes - comfortable holding a long-term POV while delivering working software in days\nComfort operating across initiative scales - from focused two-week sprints to multi-quarter enterprise programs\nAbility to codify patterns into tooling, not just documentation\nStrong proficiency in Salesforce platform: Sales Cloud, Agentforce, Data Cloud\nExpertise in software architecture patterns: microservices, event-driven, distributed systems\nExceptional communication - equally fluent with engineers and business partners\nHigh agency, low ego - failure is data, not identity\n Even Better If...\nExperience building large-scale Salesforce implementations spanning multiple clouds and integration layers - including data modeling, security model design, and cross-org architecture\nMuleSoft - experience designing integration architectures for P2C data flows (lead handoffs, order sync, entitlement propagation) using API-led connectivity and event-driven patterns\nAgentforce 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)\nData Cloud - experience modeling unified customer profiles (Individual, Contact Po...","description_format":"text","description_chars":15906,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","AI Agents","Team Communication & Collaboration","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-09-28T22:22:12Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.554,"p_room":0.9,"age_days":13,"expected_fill_days":22,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/salesforce-senior-solution-architect-agentic-sales-technology","json_url":"https://alion.io/job/salesforce-senior-solution-architect-agentic-sales-technology.json","meta":{"generated_at":"2026-10-12T22:17:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":36500,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":70},"rest":"https://alion.io/mcp/rest/get_company?id=70"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsalesforce-senior-solution-architect-agentic-sales-technology"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsalesforce-senior-solution-architect-agentic-sales-technology"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsalesforce-senior-solution-architect-agentic-sales-technology"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/salesforce-senior-solution-architect-agentic-sales-technology\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsalesforce-senior-solution-architect-agentic-sales-technology"}]}