forward deployed engineer

<div><div>Location: London

Office requirement : 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal</div> 


At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. 

<h1 class="jobSectionHeader">
Sounds great, what will I be doing?</h1>

As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title &mdash; you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader. 
<div>
A few things you'll be responsible for:

 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform &mdash; from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

 Partner with Enterprise AEs in late-stage sales cycles &mdash; leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.</div> 

<h1 class="jobSectionHeader">
What do I need to bring with me?</h1>

You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn.
 
Here's what the team will be looking for in you:

 Significant experience in software engineering, solutions engineering, or a customer-facing technical role &mdash; with meaningful time spent shipping production code in complex enterprise environments.

 Demonstrable experience deploying AI or data-heavy products into large organisations &mdash; real production deployments, not just POCs.

 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

 The ability to work through ambiguity and turn it into a concrete technical plan.

 Clear communication across technical and business audiences &mdash; you can tailor the same idea for an engineering lead and a commercial stakeholder.

 Willingness to travel to client sites across the UK and Europe (approximately 30&ndash;50% of the time). 


Nice to have:

 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

 A background in a high-growth B2B SaaS or AI-native company.

 Experience in one or more of GWI's core verticals: financial services, media &amp; agencies, consumer goods, or technology.

 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion. 


Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they're a big part of what we're looking for in you.
<h1 class="jobSectionHeader">
What's in it for me?</h1>

At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

 Time to recharge &ndash; 25 days' annual leave, plus office closures over the holidays.

 Health &amp; wellbeing &ndash; Health cash plan, enhanced family benefits, carer days, and mental health support.

 Financial benefits &ndash; Competitive salary, 4% pension matching, and recognition programs that celebrate success.

 Flexibility &amp; balance &ndash; Flexitime, early Friday finishes, hybrid and remote options, plus a &quot;work from home&quot; budget.

 Career growth &ndash; Accredited learning, leadership development, and global career mobility.

 Community &amp; impact &ndash; DE&amp;I initiatives, volunteering opportunities, donation matching, and payroll giving. 


Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. 

<h1 class="jobSectionHeader">
Diversity, Equity &amp; Inclusion</h1>

Diversity is fundamental to who we are&mdash;both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully. 


#li-hybrid 
#LI-NIKOSSS1</div>

Forward Deployed Engineer

LiveKit

<div><h2 class="jobSectionHeader">About LiveKit</h2>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.<h2 class="jobSectionHeader">
About This Role</h2>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.<h2 class="jobSectionHeader">
You'll Thrive Here If You:</h2><ul><li>
are obsessed with helping developers succeed</li><li>
are known as the go-to person for solving tricky technical issues</li><li>
work hard and can move fast without sacrificing quality</li><li>
care deeply about polish, detail, and clear communication</li><li>
are a fast learner, frequently picking up new tools, systems, and skills</li></ul><h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</li><li>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</li><li>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</li><li>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</li><li>
Debug and troubleshoot complex technical issues in production environments</li><li>
Lead technical workshops and architecture sessions with developers and product teams</li><li>
Translate customer needs into technical insights that inform product and platform development</li><li>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</li><li>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</li><li>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</li><li>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</li><li>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</li><li>
Experience building or integrating developer platforms or real-time systems</li><li>
Able to quickly understand complex systems and debug issues in real-world environments</li><li>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</li><li>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</li><li>
Excited to work hands-on with customers solving complex technical implementation challenges</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</li><li>
Familiarity with voice AI, conversational agents, or AI infrastructure</li><li>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</li><li>
Experience contributing to open-source projects or developer ecosystems</li><li>
Previous experience building with or integrating LiveKit</li></ul><h2 class="jobSectionHeader">
Our Commitment to You</h2><ul><li>
An opportunity to build something truly impactful to the world</li><li>
Contribute to open source alongside world-class engineers</li><li>
Competitive salary and equity package</li><li>
Health, dental, and vision benefits</li><li>
Flexible vacation policy</li></ul>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.
Compensation Range: ₹90L - ₹1.1Cr</div>

Accenture

<div>Project Role : Forward Deployed Engineer 
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
 
Must have skills : Generative AI 
Good to have skills : Python (Programming Language), AI Agents &amp; Workflow Integration 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary:
 
As a Forward Deployed Lead Engineer, you will lead the architecture, design, and delivery of enterprise-scale AI solutions. You will provide technical leadership across initiatives involving LLMs, Agentic AI, RAG, workflow orchestration, and enterprise integrations while driving solutioning, innovation, and scalable solution delivery across complex business environments. 
 
Roles &amp; Responsibilities:
 
<ul><li>Lead architecture and implementation of enterprise AI solutions.</li><li>Analyze complex business challenges and define scalable AI solution architectures</li><li>Lead solutioning workshops and architecture discussions with business and technical stakeholders.</li><li>Define scalable architectures for AI agents, RAG systems, and intelligent workflow orchestration.</li><li>Drive technical decisions related to model selection, prompt engineering, evaluation frameworks, governance, and responsible AI.</li><li>Design enterprise integration patterns across business applications and cloud platforms.</li><li>Drive technical problem-solving across multiple teams and programs.</li><li>Collaborate with stakeholders, architects, and engineering teams to deliver business outcomes.</li><li>Mentor engineers, conduct design reviews, and establish engineering best practices.</li><li>Drive innovation and adoption of AI technologies across multiple programs and teams.</li></ul> 
 
Professional &amp; Technical Skills:
 
<ul><li>Must Have Skills Strong expertise in Python and enterprise application development.</li><li>Experience designing and delivering AI-powered solutions leveraging LLMs.</li><li>Deep understanding of Agentic AI, workflow orchestration, and enterprise automation.</li><li>Strong experience with RAG architectures, vector databases, embeddings, and semantic search.</li><li>Experience with prompt engineering, model evaluation, and AI governance.</li><li>Strong solution architecture and system design skills.</li><li>Strong problem-solving, solutioning, and consulting capabilities.</li><li>Ability to engage with business stakeholders and translate requirements into scalable technical solutions.</li><li>Strong communication, stakeholder management, and technical leadership skills.</li></ul> 
Preferred Skills: 
<ul><li>Experience with Google Cloud Platform (GCP).</li><li>Experience with Gemini, Vertex AI, Agent Builder, Vertex AI Search, or similar cloud AI services.</li><li>Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, ADK, or equivalent.</li><li>Experience with open-source models and enterprise AI platforms.</li><li>Experience designing cloud-native and scalable enterprise architectures.</li></ul> 
 
Additional Information:
 
<ul><li>The candidate should have a minimum of 7.5 years of overall professional experience.</li><li>Experience leading the design and delivery of enterprise AI, automation, or data-driven solutions is preferred.</li><li>Experience driving architecture decisions, mentoring teams, and delivering large-scale enterprise solutions is highly desirable.</li><li>A 15 years full-time education is required.</li></ul></div>
 
15 years full time education

Project Role : Forward Deployed Engineer 
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
 
Must have skills : Generative AI, Python (Programming Language) 
Good to have skills : AI Agents &amp; Workflow Integration 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary : 
As a Forward Deployed Lead Engineer, you will lead the architecture, design, and delivery of enterprise-scale AI solutions. You will provide technical leadership across initiatives involving LLMs, Agentic AI, RAG, workflow orchestration, and enterprise integrations while driving solutioning, innovation, and scalable solution delivery across complex business environments. 
 
Roles &amp; Responsibilities 
Lead architecture and implementation of enterprise AI solutions. 
Analyze complex business challenges and define scalable AI solution architectures. 
Lead solutioning workshops and architecture discussions with business and technical stakeholders. 
Define scalable architectures for AI agents, RAG systems, and intelligent workflow orchestration. 
Drive technical decisions related to model selection, prompt engineering, evaluation frameworks, governance, and responsible AI. 
Design enterprise integration patterns across business applications and cloud platforms. 
Drive technical problem-solving across multiple teams and programs. 
Collaborate with stakeholders, architects, and engineering teams to deliver business outcomes. 
Mentor engineers, conduct design reviews, and establish engineering best practices. 
Drive innovation and adoption of AI technologies across multiple programs and teams. 
 
Professional &amp; Technical Skills 
Must Have Skills Strong expertise in Python and enterprise application development. 
Experience designing and delivering AI-powered solutions leveraging LLMs. 
Deep understanding of Agentic AI, workflow orchestration, and enterprise automation. 
Strong experience with RAG architectures, vector databases, embeddings, and semantic search. 
Experience with prompt engineering, model evaluation, and AI governance. 
Strong solution architecture and system design skills. 
Strong problem-solving, solutioning, and consulting capabilities. 
Ability to engage with business stakeholders and translate requirements into scalable technical solutions. 
Strong communication, stakeholder management, and technical leadership skills. 
 
Preferred Skills 
Experience with Google Cloud Platform (GCP). 
Experience with Gemini, Vertex AI, Agent Builder, Vertex AI Search, or similar cloud AI services. 
Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, ADK, or equivalent. 
Experience with open-source models and enterprise AI platforms. 
Experience designing cloud-native and scalable enterprise architectures. 
 
Additional Information 
The candidate should have a minimum of 7.5 years of overall professional experience. 
Experience leading the design and delivery of enterprise AI, automation, or data-driven solutions is preferred. 
Experience driving architecture decisions, mentoring teams, and delivering large-scale enterprise solutions is highly desirable. 
A 15 years full-time education is required.
 
15 years full time education

Exiger

<div><div>Who We Are:

Exiger transforms supply chains into a strategic advantage&mdash;advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers&mdash;including Fortune 500 companies and U.S. government agencies&mdash;Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP&reg; authorized provider to the federal government.</div>
Forward Deployed Engineer

Location: Huntsville, Alabama

Work Environment: Hybrid

Clearance Required: Active Top Secret (TS) with SCI Eligibility 


Role Summary:

Exiger is transforming how governments and global enterprises manage supply chain, defense, and geopolitical risk. Our AI-powered platform equips the world's most important institutions with the intelligence they need to protect critical infrastructure, secure national interests, and make data-driven operational decisions.

From identifying counterfeit parts in defense supply chains to anticipating geopolitical risk exposure, Exiger enables mission owners to act with clarity and confidence in complex, high-stakes environments.

Forward Deployed AI Engineers work directly with government and defense customers to understand their most complex operational challenges and design and implement AI-driven solutions to solve them.

Our customers rely on Exiger's platform to support mission-critical operations &mdash; often beginning with open-ended questions such as:
<ul>
<li>&quot;Where are vulnerabilities hidden in our supply chain?&quot;</li>
<li>&quot;How can we proactively detect and mitigate risk before it impacts readiness?&quot;</li>
<li>&quot;How do we modernize fragmented legacy systems into a unified intelligence capability?&quot;</li>
</ul>
As a Forward Deployed AI Engineer, you will combine engineering depth, AI/ML expertise, and mission understanding to deliver scalable, production-grade solutions that drive measurable real-world impact.

You will operate at the intersection of engineering, data science, and mission delivery &mdash; embedded alongside customer stakeholders and internal teams. Working in small, high-trust teams, you will own projects end-to-end &mdash; from architecture and data ingestion through model deployment, integration, and executive-level briefings.

You will not just build models &mdash; you will ensure they function reliably in production, under real-world operational constraints.

What You'll Do:
<ul>
<li>Design, implement, and maintain scalable data pipelines for ingesting, cleansing, and transforming supply chain and risk-related datasets.</li>
<li>Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification within SCRM workflows.</li>
<li>Integrate AI-driven analytics into Exiger's SaaS platform through APIs, data services, and system interfaces.</li>
<li>Partner with program directors, data scientists, and software engineers to operationalize models into production systems.</li>
<li>Cleanse and enrich customer provided data.</li>
<li>Develop and maintain dashboards, data visualizations, and reporting solutions to enable decision-making by senior government stakeholders.</li>
<li>Ensure quality, integrity, and security of data across all program implementations.</li>
<li>Support delivery of transformation projects by modernizing customer data environments and enabling advanced risk analytics.</li>
<li>Contribute to agile delivery cycles, from design and testing through deployment.</li>
<li>Periodically provide updates on data pipelines, AI performance metrics, and customer value realization.</li>
</ul>
What You Need:
<ul>
<li>Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field.</li>
<li>5+ years of experience in data engineering, applied AI/ML, or scalable system integration</li>
<li>Demonstrated experience operationalizing AI models beyond experimentation</li>
<li>An Active Top Secret Clearance with SCI eligibility</li>
<li>Deep proficiency in Python and SQL, with experience designing scalable data architectures</li>
<li>Experience building and deploying AI/ML systems in production environments</li>
<li>Familiarity with cloud platforms (AWS, Snowflake, Redshift) and secure system integration</li>
<li>Ability to translate ambiguous mission problems into structured technical solutions</li>
<li>Comfort working directly with senior government stakeholders</li>
<li>Strong systems thinking across data pipelines, APIs, models, and visualization layers</li>
<li>Ability to operate independently in dynamic, high-stakes environments</li>
<li>Willingness to travel as needed to support customer engagements</li>
</ul><div>Why You'll Love Working at Exiger:</div>
<ul><li>High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.</li>
<li>Discretionary Time Off for all employees, with no maximum limits on time off</li>
<li>Industry leading health, vision, and dental benefits</li>
<li>Competitive compensation package</li>
<li>16 weeks of fully paid parental leave</li>
<li>Flexible, hybrid approach to working from home and in the office where applicable</li>
<li>Focus on wellness and employee health through stipends and dedicated wellness programming</li>
<li>Purposeful career development programs with reimbursement provided for educational certifications</li>
</ul>
#LI-hybrid<div> 
Exiger is named a Leader in the Gartner&reg; Magic Quadrant&trade; for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn.

At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused&mdash;committed to building technology that makes the world safer, more transparent, and more resilient.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.</div></div>

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You're excited to travel ~25% of the time, embedded with customer engineers.
</li><li>Business level proficiency in Arabic and English
</li><li>Computer Science (CS) degree or related.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Paebbl

<div><h3 class="jobSectionHeader">About Us:</h3>
Paebbl is a founder-led start up in the emerging field of climate technology and the new &ldquo;carbon economy&rdquo;. Our mission is to permanently sequester CO2 and repurpose it into products that the world needs. Inspired by natural CO2 mineralization, our technology accelerates this process by a factor of a million and is now ready for scale-up. We are privately financed by supportive, long-term oriented institutional and private investors, and our diverse team includes experts from technology, industrial engineering, digital innovation, waste management, finance, and academia.<h3 class="jobSectionHeader">
The Role</h3>
This is a hands-on, early-career role for someone who is energised by working in a startup or scale-up environment: practical, curious about AI, comfortable with ambiguity, and able to move between technical work and working directly with the people on the ground.
Based on-site at RDM, you will work out where a tool genuinely helps, set it up in the real environment, train the people who use it, and handle first-line support so the tools stay in use. You will be the human bridge that turns the software we build into ways of working that stick.
The move to AI-augmented ways of working does not happen on its own across a workforce , it needs someone supporting it day to day. This role is that person.
Key Responsibilities
On-the-Ground Tool Adoption<ul><li>
Act as the on-site point of contact for the AI tools, agentic systems, and internal software we deploy.</li><li>
Identify where a tool solves a real workflow problem on the ground, and where it does not.</li><li>
Set up and configure tools in the live environment so they work in the real-world context, not just in theory.</li><li>
Implement solutions from existing tools and services</li></ul>
Training and Support<ul><li>
Train staff and support them until they can use the systems confidently on their own.</li><li>
Provide first-line support, diagnosing and resolving workflow and technical issues on-site without waiting on the build team.</li><li>
Keep people using the tools over time, so the investment we make in building them pays off.</li></ul>
Feedback to the Build Team<ul><li>
Feed usage patterns and friction back to the Digital &amp; Systems team to improve what we build.</li><li>
Help the team prioritise based on what actually helps people on-site.</li></ul>
What We&rsquo;re Looking For<ul><li>
Master&rsquo;s graduate or early-career engineer (0&ndash;3 years&rsquo; experience).</li><li>
Hands-on with IT systems and software.</li><li>
Experience with, or strong interest in, AI and agentic augmentation.</li><li>
Python development.</li><li>
Strong problem-solving &mdash; able to diagnose workflow and technical issues on-site and find a working fix independently.</li><li>
Works well with non-technical users, and can translate between the build side and the people using the tools.</li><li>
Comfortable being based on-site at RDM and working directly alongside the people you support.</li></ul>
Nice to Have<ul><li>
Experience deploying or supporting software in an industrial, manufacturing, or operational environment.</li><li>
Familiarity with agentic AI systems or LLM-based tooling.</li><li>
Experience in a startup or scale-up where roles are broad and priorities shift quickly.</li><li>
Interest in climate tech, energy, manufacturing, or deep tech.</li></ul>
The Person Who Will Thrive in This Role
You will likely succeed in this role if you are practical, proactive, and happy working at the pace of a startup. You enjoy being close to the people you help and get satisfaction from seeing a tool you set up actually get used. You do not need everything handed to you , you can walk onto the floor, work out what is getting in someone&rsquo;s way, and fix it.
You are comfortable being the bridge between engineers and non-technical users, and you can explain technical things simply. You bring low ego, strong ownership, and genuine curiosity about how AI can change the way a workforce operates.
What success looks like after 12 months
After 12 months, the Forward Deployed Engineer will have become the trusted on-site face of the tools we deploy. Adoption of AI tools, agentic systems, and internal software at RDM will be visibly higher and more durable, because someone is there every day to set tools up, train people, and keep them running.
Crucially, the build team will no longer be the bottleneck for adoption. First-line support and onboarding will sit with the Forward Deployed Engineer rather than pulling senior engineers off build work, allowing the Digital &amp; Systems team to ship more while usage keeps pace. A clear feedback loop will be in place, so what gets built is shaped by what genuinely helps people on the ground. After 12 months, Paebbl should feel that the time it invests in building tools reliably turns into tools that are actually used.<h3 class="jobSectionHeader">
What We Offer:</h3><ul><li>
Market-rate salary.</li><li>
Stock option program participation.</li><li>
Private healthcare insurance.</li><li>
Annual training and development budget.</li><li>
Annual wellness budget.</li><li>
25 days of paid vacation.</li><li>
Up to 6 months of compensated parental leave.</li><li>
Standard pension scheme support.</li><li>
Remote first digital team, based across Europe.</li></ul>
We believe in fostering a constructive, inclusive work environment that respects all stakeholders, including our team, collaborators, customers, and partners. Our Code of Conduct reflects our commitment to cultivating a positive workplace culture. Join us and be part of a pioneering company shaping the future of CO2 removal and CO2-negative materials industries. Ready to make a real impact? Apply today and help us shape a sustainable future!</div>

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