Forward Deployed AI Engineer

Reposted 17 Days Ago
4 Locations
In-Office or Remote
177K-295K Annually
Mid level
Artificial Intelligence • Cloud • Software • Conversational AI
The Role
The Forward Deployed AI Engineer will deploy LLM-powered AI solutions for enterprise clients, collaborating closely with various teams to optimize model performance and integration.
Summary Generated by Built In

Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint. 

By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr’s unified platform provides powerful solutions for every customer-facing team — spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management — enabling enterprises to unify data, break down silos, and act on real-time insights. 

Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide. 

Job Description

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.). 

We focus on our mission: Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data — helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing and Sprinklr Insights. Sprinklr is here to do three things: 

  • Lead a new category of enterprise software that we call Unified-CXM. 

  • Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience. 

  • Create a culture of customer obsession, with trust, teamwork and accountability. 

We believe in our product: Customers who value exceptional customer experiences have what they need on our single unified platform built with an operating system approach on a single codebase. That means that everything — and everyone — can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world’s leading enterprise brands. 

 

We invest in our people: We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off – it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus. 

To learn more about employee benefits by region, click here

To learn more about all-things-Sprinklr, visit our candidate resource hub here

EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We 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 complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law. 


Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter. 

JOB REQ COMPENSATION RANGE

$177,000 - $236,000 - $295,000

The base salary range for this role at minimum, midpoint and maximum is shown above. It is not typical for a candidate to be hired close to or at the maximum of the salary range. At Sprinklr, base pay depends on multiple individualized factors, including experience, qualifications, job-related knowledge and skills, and geographic location. Base pay also depends on the relative experience, knowledge, and skills of our internal peers in the role. Base pay is only one part of our competitive Total Rewards package: the successful candidate may also be eligible to participate in Sprinklr’s discretionary bonus plan, commission plan and/or equity plan, depending on role. 

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.

Top Skills

Cloud Infrastructure
Fastapi
Langchain
Llms
Python
Transformers
Vector Databases
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
4,289 Employees
Year Founded: 2009

What We Do

Sprinklr is a provider of enterprise software for customer experience management. We help brands turn public conversations on modern channels into valuable insights to improve marketing, advertising, customer service, product development and more.
Sprinklr has five products on one platform: Modern Marketing, Modern Advertising, Modern Research, Modern Care and Modern Engagement. Sprinklr’s unified platform allows siloed teams to collaborate and deliver memorable customer experiences — at scale.
Founded in September 2009, Sprinklr is headquartered in NYC with 1,900 employees in 16 countries and 25 offices.

Similar Jobs

MongoDB Logo MongoDB

Forward Deployed Engineer, AI

Big Data • Cloud • Software • Database
Easy Apply
Remote or Hybrid
United States
137K-270K Annually

webAI Logo webAI

Artificial Intelligence Engineer

Artificial Intelligence • Cloud • Machine Learning • Software
In-Office or Remote
Austin, TX, USA

Databricks Logo Databricks

Artificial Intelligence Engineer

Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Remote
United States
161K-226K Annually

Lorikeet Logo Lorikeet

Artificial Intelligence Engineer

Artificial Intelligence • Information Technology • Software
Remote
US

Similar Companies Hiring

Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account