Forward Deployed ML Engineer

Sprinklr; 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 directly with strategic customers on LLM-powered solutions. The role involves collaboration with product teams and direct customer engagement to tailor AI implementations. Successful candidates will have strong backgrounds in ML, Python, and customer solutions.

Benefits

Comprehensive health plans

Well-being programs

Continuous learning opportunities

Qualifications

• 3+ years of experience in ML, NLP, or software engineering.
• Strong programming skills in Python.
• Experience with cloud infrastructure.

Responsibilities

• Build and deploy LLM-powered solutions with customers.
• Collaborate with cross-functional teams to deliver AI solutions.
• Iterate on use cases incorporating feedback.

Skills

Machine Learning

Natural Language Processing

Python

Customer Engagement

Cloud Infrastructure

Tools

Transformers

LangChain

FastAPI

Job description

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.

Learn more about our culture and how we make our employees happier through The Sprinklr Way.

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.