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Added 16 mins ago
KC
Senior Consultant - Data & Solution Architect (MS Fabric)
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Montreal, QC
- Full-time
…discipline you master and a story you help write to become a Keyrus Architect of…
Added 16 mins ago
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Added 31 mins ago
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Baseten

Solutions Architect, EMEA

Toronto, ON, Canada

$145,000 to $290,000 USD / year · Full-time

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Job details

Pay: $145,000 to $290,000 USD / year
Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

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
(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.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $145K - $290K

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More about this job

Responsibilities

Partner with Sales and customers to discover technical needs, design solutions, lead demonstrations, and scope deployment approaches and success criteria. Own repeatable inference benchmarks and deployments, and coordinate proofs of concept with stakeholders while engaging Forward Deployed Engineering for complex technical work.

Requirements

Requires an AI/ML background, strong customer-facing communication, and the technical depth to scope solutions and clarify ambiguous requirements without needing to write production code. Candidates should be comfortable scripting and prototyping; experience with inference benchmarks, infrastructure tradeoffs, or cross-functional customer POCs is a plus.

Skills

AI/ML
Customer Discovery
Technical Communication
Solution Design
Technical Scoping
Product Demonstrations
Benchmarking
ML Inference Deployment
GPU Selection
Latency and Throughput Optimization
Proof-of-Concept Management
Project Coordination
Scripting and Prototyping
vLLM
SGLang
TRT-LLM

Benefits

Competitive Compensation
Equity
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Paid Time Off
Company-Wide Winter Break
Paid Parental Leave
Fertility and Family-Building Stipend
401(k)
Learning and Networking Opportunities

Visa sponsorship

Not detected in the job text

Keywords

AI/ML
Machine Learning Inference
Large Language Models
Embeddings
Image Generation
Video Generation
Voice AI
vLLM
SGLang
TRT-LLM
H100 GPUs
B200 GPUs
Inference Benchmarking
Latency Optimization
Throughput Optimization
Technical Discovery
Solution Architecture
Deployment Scoping
Proof Of Concept
Customer Implementations
Sales
Engineering
Forward Deployed Engineering
Scripting
Prototyping
Project Management

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