Leads and mentors a team of Solution Architects partnering with sales to translate customer needs into technical AI solutions, run discovery, demos, POCs, and deploy high-performance LLM applications on Baseten's platform. Requires 4+ years in solutions architecture with AI/ML expertise and 1+ year leadership.
165k – 330k/yr
Hybrid4+ YOEEngineering Management
About the role
Responsibilities
Leadership
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, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
Player-coach – drive strategic product initiatives and customer engagements hands-on when needed.
Team Management
Lead team partnering with sales on customer discovery calls.
Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
Own benchmarking and repeatable deployments for LLMs, embeddings, image/video generation, VoiceAI, etc.
Advise on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
Drive consistent “playbook” style deployments for common models and use cases.
Become power user of runtimes such as vLLM, SGLang, TRT-LLM and configurations.
Drive POC and project execution: scoping, stakeholder alignment, project management, pulling in FDE support.
Requirements
AI/ML background to discuss topics credibly with technical stakeholders.
4+ years professional Solution Architecture/Solutions Engineering experience, including 1+ year in leadership/mentorship.
Strong customer-facing communication skills for structured discovery and clarifying ambiguous requirements.
Technical depth to scope solutions without writing production code.
Ability to script and prototype, including “vibe coding” for quick workflows.
Nice to Have
Experience running/supporting benchmarks for ML inference deployments.
Familiarity with infrastructure tradeoffs for inference (GPU selection, latency vs throughput tuning).
Experience as cross-functional technical lead for customer POCs.
Professional software engineering experience.
Benefits
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents.
Flexible PTO policy including company-wide Winter Break.
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