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Salesforce

Senior Manager, AI Solutions Architect

Posted 5 Days Ago
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In-Office
New York, NY, USA
173K-286K Annually
Senior level
In-Office
New York, NY, USA
173K-286K Annually
Senior level
Lead design, architecture, deployment, and governance of LLM-based agent workflows and multi-agent orchestration. Define integration patterns, agent identity/session design, monitoring, and deployment lifecycle. Bridge product strategy and engineering, own performance and reliability, and scale agent infrastructure across platforms like Agentforce, Slack, and Snowflake.
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Job Category

Product

Job Details

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.

Ready 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.

The Monetization team is building AI agents into their day-to-day workflows and extending that capability across the broader organization to enable sellers on pricing and packaging. You will be the internal steward of this agent workflow system, maintaining it, extending it, and working with the team to find where AI-assisted workflows create the most value.
This role sits at the intersection of engineering and analysis — requiring the business lens of a product manager and the technical depth to design, build, and evolve AI agent workflows. The ideal candidate thinks in systems, understands how teams operate, and can move fluidly between strategy and execution.
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.

*LI-Y

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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.

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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. 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 area, 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.

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