Forward Deployment Engineer- London

Persistent
London, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Shift work
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Frameworks Microsoft Azure Business Software Cloud Computing Databases Continuous Integration Python (Programming Language)
+20 more
Machine Learning Search Technologies Software Engineering Systems Integration AI Infrastructure Google Cloud Enterprise Software Applications Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Containerization Information Technology Deployment Automation Machine Learning Operations Virtual Agents Restful APIs Automation Anywhere Docker Microservices

Job description

We are seeking a highly motivated Forward Deployment Engineer (FDE) to bridge the gap between cutting-edge AI technology and real-world customer business challenges. The ideal candidate will work directly with customers, product teams, and engineering organizations to design, customize, deploy, and scale AI-powered solutions that deliver measurable business outcomes. As an FDE, you will act as a trusted technical advisor, solution architect, and hands-on engineer, helping customers successfully adopt Generative AI, Machine Learning, Agentic AI, LLM-based applications, and AI-driven automation solutions.

What You’ll Do

  • Customer Engagement & Solution Delivery: Partner with customers to understand business objectives, workflows, and operational challenges. Translate business requirements into scalable AI-powered solutions. Lead technical discovery sessions, workshops, and solution demonstrations. Drive customer success by ensuring successful deployment and adoption of AI solutions. Act as the primary technical liaison between customers and internal engineering/product teams.
  • AI Solution Development & Deployment: Develop and customize Generative AI, Agentic AI, and Machine Learning solutions for customer-specific use cases. Build AI assistants, copilots, intelligent automation, and retrieval-augmented generation (RAG) applications. Design and integrate AI workflows with enterprise systems, databases, APIs, and business applications. Fine-tune prompts, optimize AI workflows, and improve model performance. Deploy AI solutions across cloud and hybrid environments.
  • Technical Leadership: Provide technical leadership during customer implementations. Create solution architectures, deployment strategies, and technical design documents. Recommend best practices for AI governance, security, privacy, and responsible AI adoption. Collaborate with product management and engineering teams to influence product roadmaps based on customer feedback.
  • Product Adoption & Value Realization: Monitor adoption metrics and identify opportunities for optimization. Define and measure business value delivered through AI implementations. Support customers in scaling successful pilots into enterprise-wide deployments. Deliver training sessions and technical enablement programs for customer teams.
  • Innovation & Continuous Improvement: Stay current with advances in Generative AI, LLMs, AI Agents, Vector Databases, Prompt Engineering, and AI Infrastructure. Build reusable frameworks, accelerators, and deployment methodologies. Contribute to solution playbooks, knowledge repositories, and best practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
  • Strong software engineering skills in Python, Java, JavaScript, or similar technologies.
  • Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).
  • Hands-on experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, or AutoGen.
  • Experience with Machine Learning and Deep Learning concepts.
  • Knowledge of Vector Databases such as Pinecone, Weaviate, Chroma, FAISS, or Azure AI Search.
  • Experience with REST APIs, Microservices, and Enterprise Integrations.
  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
  • Knowledge of containerization and deployment technologies including Docker and Kubernetes.
  • Experience with CI/CD and MLOps practices.
  • Strong consulting and stakeholder management capabilities.
  • Ability to translate complex technical concepts into business-friendly language.
  • Proven experience working directly with enterprise customers.
  • Strong presentation, communication, and problem-solving skills.

Preferred Skills

  • Experience deploying AI solutions in regulated industries such as Healthcare, Financial Services, Insurance, Telecom, or Manufacturing.
  • Knowledge of AI governance, responsible AI, security, and compliance frameworks.
  • Experience implementing RAG architectures and enterprise AI assistants.
  • Exposure to AI observability, evaluation frameworks, guardrails, and monitoring platforms.
  • Experience with Agentic AI and Multi-Agent Systems.
  • Relevant certifications in Azure AI, Azure OpenAI, AWS AI/ML, GCP AI, or related technologies.

Expertise You’ll Bring

Your expertise in AI technologies, strong technical skills, and customer engagement experience will be crucial in driving successful AI implementations that meet our customers’ needs and deliver significant business value.

Benefits & conditions

Pulled from the full job description

  • Flexible schedule, * Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

About the company

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE…® Assessment 2025.

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