CrawlJobs Logo

Senior Forward Deployed AI Engineer

smartsheet.com Logo

Smartsheet

Location Icon

Location:
United Kingdom , London

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

Job Responsibility:

  • Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout
  • Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning
  • Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements
  • Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically
  • Own Deployment Kit quality for your pod
  • Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria
  • Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements
  • Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality

Requirements:

  • 6–10+ years production software engineering, including 3+ years deploying AI/ML to production
  • Deep Python
  • strong TypeScript/JavaScript
  • Proven track record leading complex enterprise technical engagements
  • Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale
  • System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services
  • Demonstrated ability to create reusable technical assets that others use in production
  • Strong written and verbal communication
  • Ability to travel 25–50% of the time
  • Eligible to work in the UK on an ongoing basis
  • BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to have:

  • Experience founding or scaling an FDE/solutions engineering function
  • Technical founder background
  • Databricks, AWS Bedrock, or Temporal experience
  • Deep domain knowledge in healthcare, financial services, or government
  • Agent framework contributions (Strands SDK, LangChain, open-source MCP servers)
  • Proficiency in German/French language
  • Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act)

Additional Information:

Job Posted:
May 17, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Smartsheet - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Forward Deployed AI Engineer

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...
Location
Location
United States , New York City
Salary
Salary:
145800.00 USD / Year
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Forward Deployed

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work direc...
Location
Location
United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore
Salary
Salary:
165000.00 - 266000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Job Responsibility
Job Responsibility
  • Collaborate with delivery leaders to scope technical solutions to operational problems
  • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
  • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
  • Iterate quickly based on real-time feedback from operators and clients
  • Build reusable tooling and infrastructure that accelerates future deployments
What we offer
What we offer
  • Bonuses and equity are included in offers above entry level
  • Fulltime
Read More
Arrow Right

Senior Forward Deployed Engineer

In the last six months we experienced an increase in demand for software enginee...
Location
Location
United States , San Francisco
Salary
Salary:
175750.00 - 247250.00 USD / Year
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ideally, you’ve built an exciting SaaS product in your previous roles
  • You are interested in AI/ML. You’re good at quickly building a good understanding of novel problems, capabilities, architectures and understanding trade-offs and limitations
  • Strong cross-functional collaboration. Ability to understand and navigate organizational boundaries and bring people together to achieve the best outcome for our customers and Intercom.
  • Deep knowledge of a high-level programming language (for example, JavaScript, Python, Ruby, etc.)
  • Able to prototype and ship software fast, while maintaining a high bar on quality and the focus on business goals and outcomes.
  • Proficient using and writing REST APIs to integrate systems effectively.
  • Strong communicator. Can easily talk to engineers and non-technical audiences about the same topics at different altitudes, and different levels of detail.
  • Willing to travel and work on-site with customers to build strong relationships and deeply understand their needs.
Job Responsibility
Job Responsibility
  • Drive the adoption of Fin by helping prospects unlock the power of Intercom’s AI capabilities to automate and scale their support operations.
  • Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Provide them with insight to achieve outstanding results with Fin.
  • Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion.
  • Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, project success and actionable product feedback.
  • Contribute to and evolve the Forward Deployed Engineering function. Codify best practices and share insights gained from customer engagements to help us scale and grow.
What we offer
What we offer
  • Competitive salary and meaningful equity
  • Comprehensive medical, dental, and vision coverage
  • Regular compensation reviews - great work is rewarded!
  • Flexible paid time off policy
  • Paid Parental Leave Program
  • 401k plan & match
  • In-office bicycle storage
  • Fun events for Intercomrades, friends, and family!
  • Fulltime
Read More
Arrow Right

Senior Forward Deployed Engineer

In the last six months we experienced an increase in demand for software enginee...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created
  • You are interested in AI/ML
  • You’re good at quickly building a good understanding of novel problems, capabilities, architectures and understanding trade-offs and limitations
  • Strong cross-functional collaboration
  • Ability to understand and navigate organizational boundaries and bring people together to achieve the best outcome for our customers and Intercom
  • Deep knowledge of a high-level programming language (for example, JavaScript, Python, Ruby, etc.)
  • Able to prototype and ship software fast, while maintaining a high bar on quality and the focus on business goals and outcomes
  • Proficient using and writing REST APIs to integrate systems effectively
  • Strong communicator
  • Can easily talk to engineers and non-technical audiences about the same topics at different altitudes, and different levels of detail
Job Responsibility
Job Responsibility
  • Drive the adoption of Fin by helping prospects unlock the power of Intercom’s AI capabilities to automate and scale their support operations
  • Embed deeply with strategic customers to understand their business challenges and technical requirements in detail
  • Provide them with insight to achieve outstanding results with Fin
  • Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion
  • Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, project success and actionable product feedback
  • Contribute to and evolve the Forward Deployed Engineering function
  • Codify best practices and share insights gained from customer engagements to help us scale and grow
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews
  • Pension scheme & match up to 4%
  • Life assurance
  • Comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave
  • 6 weeks paternity leave for fathers
  • Cycle-to-Work Scheme
  • Fulltime
Read More
Arrow Right

Senior Forward Deployed Engineer

As a founding Senior Forward Deployed Engineer you’ll get to interact with our R...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ideally, you’ve built an exciting SaaS product in your previous roles
  • You are interested in AI/ML
  • Strong cross-functional collaboration
  • Deep knowledge of a high-level programming language (for example, JavaScript, Python, Ruby, etc.)
  • Able to prototype and ship software fast
  • Proficient using and writing REST APIs
  • Strong communicator
  • Willing to travel and work on-site with customers
Job Responsibility
Job Responsibility
  • Drive the adoption of Fin by helping prospects unlock the power of Intercom’s AI capabilities
  • Embed deeply with strategic customers to understand their business challenges and technical requirements
  • Work hands-on with customers' technical teams as a technical expert and trusted advisor
  • Collaborate closely with Sales, Success, and Product teams
  • Contribute to and evolve the Forward Deployed Engineering function
What we offer
What we offer
  • Competitive salary and equity
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews
  • Pension scheme & match up to 4%
  • Life assurance
  • Comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave
  • 6 weeks paternity leave for fathers
  • Cycle-to-Work Scheme
  • Fulltime
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right