Forward Deployed ML Engineer

Sprinklr; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading enterprise software company in London is seeking a Forward Deployed AI Engineer to work closely with strategic enterprise customers. This hands-on role involves building and deploying AI solutions, collaborating with cross-functional teams, and optimizing performance. Ideal candidates have strong ML and NLP experience, excellent Python skills, and the ability to directly engage with clients. This position offers a chance to innovate at the edge of customer engagement and product development.

Benefits

Comprehensive health plans

Well-being programs

Continuous learning opportunities

Qualifications

• 3+ years experience in ML, NLP, or software engineering with LLM exposure.
• Strong programming skills in Python with relevant libraries.
• Experience deploying ML models in real-world settings.

Responsibilities

• Build and deploy LLM-powered AI solutions directly with customers.
• Collaborate with teams to understand requirements and deliver solutions.
• Support customers in implementation and fine-tuning of LLMs.

Skills

ML, NLP experience

Python programming

Cloud infrastructure

Customer interaction

Vector databases knowledge

Tools

Transformers

LangChain

FastAPI

Job description

Overview

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world's most valuable enterprises - global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100.

Job Description

Role Summary: As a Forward Deployed AI Engineer, you will work closely with some of our most strategic enterprise customers to deploy LLM-powered agentic solutions tailored to their specific business challenges. You'll be part of a nimble, high-impact engineering team embedded with customers-building custom agentic workflows, optimizing infrastructure, and shaping product feedback directly into our platform. This is a hands-on engineering role for those who thrive at the edge of product innovation and customer engagement.

What You Will Do

• Build and deploy LLM-powered solutions (agents, RAG pipelines, tools integration) directly with enterprise customers.
• Collaborate with cross-functional teams including Product Managers, Solutions Architects, and Customer Success to understand client requirements and deliver tailored AI solutions.
• Iterate quickly on customer-facing use cases, incorporating feedback loops to improve model and system performance.
• Support customers in implementation, fine-tuning, and integration of LLMs in production environments.
• Share insights from deployments with core engineering and product teams to influence roadmap and feature prioritization.
• Occasionally travel to customer sites or participate in virtual workshops and implementation sessions.

Key Responsibilities

Customer-Embedded Engineering

• Work closely with enterprise customers to understand their workflows and define solution architectures involving AI agents, LLMs, and retrieval systems.
• Translate real-world customer problems into deployable AI workflows using planning, memory, retrieval, and tool integration.

Hands-on AI Systems Development

• Implement and optimize agentic AI systems using LLMs and tool orchestration frameworks (e.g., LangChain, RAG pipelines).
• Conduct prompt engineering, performance evaluation, and fine-tuning to improve solution effectiveness and reliability.
• Collaborate with product and platform teams to identify reusable patterns and influence roadmap based on deployment learnings.

Customer Feedback & Support

• Serve as a technical point of contact during deployments and early adoption phases.
• Capture feedback from real-world usage and help prioritize improvements and fixes.

Requirements

Must-Have

• 3+ years of experience in ML, NLP, or software engineering, with recent exposure to LLMs and agentic workflows.
• Strong programming skills in Python and relevant libraries (Transformers, LangChain, FastAPI, etc.).
• Experience with cloud infrastructure and deploying ML models in real-world settings.
• Ability to work directly with customers and translate business problems into AI solutions.
• Familiarity with vector databases, retrieval systems, and prompt engineering best practices.

Nice-to-Have

• Prior experience in a forward-deployed, customer-facing, or consulting engineering role.
• Exposure to compliance and enterprise deployment constraints (e.g., PII, data governance).
• Background in MLOps, data pipelines, or orchestration tools (Ray, Airflow, etc.).

Why You'll Love Sprinklr

We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.

For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides.

We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.

We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.

We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more.

EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.

Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr's EEO Policy and EEO is the Law.

Warning about Recruiting Scams

Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.

If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.