Onebridge Logo

Onebridge

AI/ML Presales Solutions Architect

Reposted 10 Days Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
As an AI/ML Presales Solutions Architect, you will engage with clients to identify problems, create feasible AI solutions, and partner with sales to ensure project delivery aligns with capabilities. You will leverage your extensive experience in AI and cloud platforms to shape presentations and technical discussions with clients.
The summary above was generated by AI

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled AI/ML Presales Solutions Architect to join our innovative and dynamic team. 

AI/ML Presales Solutions Architect | About You 

As an AI/ML Presales Solutions Architect, you are the technical authority supporting client conversations early in the sales cycle. You are responsible for understanding client problems, determining the right AI/ML approach, and shaping feasible, valuable solutions that align with both client needs and delivery capabilities. You thrive in exploratory, client‑facing environments where discovery, judgement, and solution framing matter more than hands‑on model building. You partner closely with sales to accelerate opportunities while ensuring we never over‑commit beyond what can realistically be delivered. You bring broad knowledge across AI, data platforms, and cloud ecosystems and are comfortable explaining what is possible, what is not, and the tradeoffs between different approaches. 

AI/ML Presales Solutions Architect | Day-to-Day 

  • Act as the primary technical presales partner, supporting multiple client engagements across discovery, solution design, and capability discussions. 
  • Lead early client conversations to understand business problems and determine the fastest, most effective path to an AI/ML solution using preferred client technologies. 
  • Translate open‑ended client challenges, such as model drift, OCR alternatives, AI automation needs, into clear solution approaches, architecture options, and recommendations. 
  • Define solution architecture, tradeoffs, timelines, and required resources, pulling in delivery teams or subject‑matter experts only when needed. 
  • Guide the AI Lab and technical teams by synthesizing client discovery into clear direction for demos, proofs of concept, and presentations. 
  • Create client‑facing materials, including slide decks, architecture diagrams, solution flows, implementation approach, and discovery plans. 
  • Partner with sales leadership on estimations, pricing inputs, and scope definition, ensuring alignment between proposed solutions and delivery feasibility. 
  • Stay current on emerging AI tools, platforms, and market trends, continuously evaluating how new capabilities integrate into existing ecosystems. 

AI/ML Presales Solutions Architect | Skills & Experience 

  • 10+ years of experience spanning AI/ML, data platforms, cloud architecture, or advanced analytics, with strong client‑facing exposure. 
  • Proven experience in sales engineering, presales solutioning, or technical consulting roles supporting enterprise clients. 
  • Broad knowledge of AI/ML use cases and architectures, with the ability to evaluate solutions across platforms such as Databricks, Snowflake, Azure, Salesforce, and related ecosystems. 
  • Strong ability to conduct solution discovery, assess feasibility, identify risks, and articulate architectural tradeoffs. 
  • Experience creating client‑facing presentations, architecture diagrams, and solution narratives that support sales cycles. 
  • Comfortable working at the intersection of sales, delivery, and technical leadership, knowing when to escalate or pull in additional expertise. 
  • Excellent communication skills with the ability to explain complex AI concepts to both technical and non‑technical stakeholders. 

    Similar Jobs

    2 Minutes Ago
    In-Office or Remote
    92K-164K Annually
    Mid level
    92K-164K Annually
    Mid level
    Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
    Own intake, prioritization, and end-to-end execution of product experiments across digital experiences. Translate product and business questions into hypothesis-driven tests, coordinate cross-functional teams, analyze results, and scale repeatable experimentation patterns to drive adoption, engagement, and revenue.
    2 Minutes Ago
    Remote or Hybrid
    135K-231K Annually
    Expert/Leader
    135K-231K Annually
    Expert/Leader
    Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
    Lead technical vision and cross-team architecture for large-scale, high-volume backend systems. Mentor senior engineers, solve scalability and infrastructure issues, set code and design standards, and partner with product and design to deliver secure, AI-enabled consumer healthcare solutions.
    Top Skills: Ai DlcContainerizationDockerGCPJavaKubernetesLangchainLarge Language ModelsPrompt EngineeringPythonSemantic Kernel
    2 Minutes Ago
    In-Office or Remote
    113K-193K Annually
    Senior level
    113K-193K Annually
    Senior level
    Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
    Lead execution of experimentation and measurement across authenticated product experiences. Design, implement, QA, and analyze A/B tests and personalization; manage tagging, tracking, feature flags, and platform health (Adobe Target/Analytics, Pendo, Optum Reactor). Partner with product, engineering, and analytics to enable repeatable experiment operations, produce actionable insights, and scale experimentation best practices and governance across products.
    Top Skills: Adobe AnalyticsAdobe TargetFeature FlaggingFirst-Party Analytics PlatformsOptum ReactorPendo

    What you need to know about the NYC Tech Scene

    As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

    Key Facts About NYC Tech

    • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
    • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
    • Key Industries: Artificial intelligence, Fintech
    • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
    • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
    • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account