Join Baseten as a Solutions Architect to translate business needs into technical solutions in the AI space.
Posted by employer 18 hours ago
First seen on Joblaze 10 hours ago
Last verified on the company career page 10 hours ago
What you'll build
- Partner with Sales on customer discovery calls
- Lead demos and technical scoping
- Own benchmarking and repeatable deployments
- Drive POC and project execution
Must have
- AI/ML background
- Strong customer-facing communication skills
- Technical depth to scope solutions
- Ability to script and prototype
Nice to have
- Experience running or supporting benchmarks for ML inference deployments
- Familiarity with infrastructure tradeoffs
- Experience serving as a cross-functional technical lead
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Solutions Architect at Baseten, the individual will engage with Sales and customers to translate business requirements into effective technical solutions, overseeing the deployment process and ensuring alignment on project goals. Key skills include a strong background in AI/ML, customer-facing communication, and the ability to scope technical solutions without writing production code. This position is ideal for experienced professionals who thrive in collaborative environments and enjoy managing technical projects across various AI applications. Baseten's rapid growth and focus on AI innovation provide a dynamic backdrop for this role.
Joblaze insights
Quick facts
- Is the Solutions Architect, EMEA role remote?
- Yes — baseten lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, LLMs, SGLang, TRT-LLM, Voice AI.
- What seniority level is this role?
- baseten targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect, EMEA role at baseten.
From the original posting
THE ROLE
As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES
Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
Own benchmarking and repeatable deployments, including:
Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc.
Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
Driving consistent “playbook” style deployments for common models and use cases.
Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
Drive POC and project execution, including:
Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
Acting as the “ringleader” or project manager for POCs.
Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS
AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
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.
NICE TO HAVE
Experience running or supporting benchmarks for ML inference deployments.
Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
BENEFITS
Competitive compensation, including meaningful equity
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Standard company text repeated across baseten's postings is omitted here.