Senior Manager, AI Solutions Architect

About Salesforce Salesforce 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. What you’ll do: Define the technical architecture for our agent portfolio (integration patterns, platform choices, guardrails) Design and govern multi‑agent orchestration patterns – how agents hand off tasks, share context, and operate within composite AI systems Own the "connective tissue" layer: how agents, APIs, workflows, and enterprise platforms (Agentforce, Slack, Snowflake, Claude) are wired together and scaled reliably Set standards for how agents are built, tested, and evaluated Own agent performance post‑deployment – monitoring, iteration, quality Make platform calls (Agentforce vs. custom, Slack‑native vs. standalone, build vs. buy) Own agent identity and session design – author and maintain agent context files (identity files, session startup protocols, memory structures, and skill definitions) that govern how agents behave consistently across sessions, users, and evolving workflows Manage system health and reliability – monitor, log, and handle errors; keep the agent infrastructure running as team dependency grows Own the deployment lifecycle – manage configuration changes, deploy updates, and debug issues in the production environment without requiring outside engineering support Experience: Built or deployed LLM‑based agentic workflows (not just chatbots) Hands‑on experience with agent orchestration frameworks (e.g., LangChain or equivalent) and multi‑agent coordination patterns Treats prompt engineering as foundational but not sufficient – one component within a broader orchestration architecture Thinks in systems, not demos – cares about maintainability, evaluation, and scale Translates fluently between strategy/business and engineering Working Python proficiency and Linux comfort – can read the codebase, make configuration changes, and operate the infrastructure stack (environment config, systemd services) independently LLM context file design as a craft – knows how to write durable agent context (identity, memory, startup protocols, skill definitions) that holds up across sessions – not one‑off prompts, but role‑level design Self‑sufficiency – able to deploy, debug, and iterate without waiting for outside engineering help; owns the full loop from design to production Domain fluency in monetization workflows – You don’t need to be a pricing expert, but you do need to quickly understand how the team thinks about deals, contracts, discounting, and revenue In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock‑purchasing program. The typical base salary range for this position is $172,500 – $260,100 annually. In select cities within the San Francisco and New York City metropolitan areas, the base salary range for this role is $207,800 – $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Posting Statement Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr Centaur Labs