Manager, Solutions Architect

Baseten

. Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.

Posted 11/5/2026full-timeUnited StatesMid-LevelSenior💰 $165,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and mentoring Solution Architects while driving strategic initiatives in AI/ML, focusing on LLM deployment and optimization. Possesses strong customer-facing communication skills and the ability to scope technical solutions effectively.

Highest-signal resume keywords

Solution ArchitectureAI/ML BackgroundCustomer-Facing CommunicationTechnical ScopingTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM DeploymentInference OptimizationBenchmarkingScriptingPrototyping

Soft Skills

MentorshipCollaborationProject Management

Tools & Technologies

VLLMSGLangTRT-LLMGPU Management

Industry Keywords

Generative AICustomer EngagementTechnical ScopingDiscovery CallsPlaybook Deployments

About the role

Key responsibilities & impact

Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.
Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
Collaborate with leadership to align team priorities with company and customer goals.
Drive strategic product initiatives and customer engagements as a player-coach.
Partner with Sales and customers on discovery calls, demos, technical scoping, and success criteria.
Own benchmarking and repeatable deployments across LLMs, embeddings, image and video generation, and VoiceAI.
Advise on GPU and inference tradeoffs, including H100s versus B200s and latency-optimized versus throughput-optimized setups.
Drive playbook-style deployments for common models and use cases.
Use runtimes such as vLLM, SGLang, and TRT-LLM and manage their configurations and tradeoffs.
Scope POCs, align stakeholders on timelines and deliverables, act as POC project manager, and coordinate Forward Deployed Engineering support.
Partner with product, infrastructure, and customer engineering teams to optimize generative AI performance, reliability, and cost efficiency in production.

Requirements

What you’ll need

AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.
Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
Technical depth to scope solutions, without needing to write production code.
Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
U.S. work authorization and visa sponsorship information requested in the application form.

Benefits

Comp & perks

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.