EXL

Analyzes business data and runs outsourced operations

Senior Developer - Marketing Cloud & Agentforce Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

At least 3 years of hands-on experience with Salesforce Marketing Cloud, including Automation Studio, Journey Builder, and Contact Builder, and proficiency in AMPscript, Server-Side JavaScript, and JavaScript.
Hands-on experience or working knowledge of Salesforce Agentforce, Einstein AI, or Prompt Builder.
Experience connecting platforms through REST/SOAP APIs, microservices, and native connectors.
A strong foundation in relational data modeling, data profiling, and SQL query optimization.
Core skills in HTML, CSS, and JavaScript for CloudPages and template execution.
Strong troubleshooting skills and the ability to explain AI and technical workflows to cross-functional stakeholders.
A Bachelor's or Master's degree in IT or Computer Engineering, with 4 or more years of experience.

Responsibilities

Design, build, and deploy Agentforce agents, Topics, and Actions for marketing automation and customer engagement workflows.
Configure Prompt Builder and integrate LLM-assisted decision-making into customer journeys and dynamic messaging.
Connect Agentforce with Salesforce Data Cloud and external APIs to provide real-time context and safely ground AI actions.
Establish guardrails, testing protocols, and compliance standards for AI-generated interactions.
Design relational data schemas, Data Extensions, and customer profiles to support real-time AI decision-making and segmentation.
Build REST/SOAP API integrations, microservices, and webhooks connecting Salesforce Marketing Cloud with internal backends, customer data platforms, and enterprise systems.
Write intermediate-to-advanced SQL queries using JOIN, GROUP BY, and string and mathematical functions for data transformations in Automation Studio and Data Cloud.
Build dynamic, personalized logic using AMPscript, Server-Side JavaScript, and frontend technologies including HTML, CSS, and JavaScript.
Develop custom CloudPages, interactive forms, and API-triggered entry sources in Journey Builder.
Troubleshoot complex data flows, API failures, and agent execution paths using root-cause analysis.

SFMC Core & Scripting: 3+ years of hands-on experience in SFMC (Automation Studio, Journey Builder, Contact Builder) with proficiency in AMPscript, SSJS, and JavaScript.
Salesforce AI / Agentforce Exposure: Hands-on experience or working knowledge of Salesforce Agentforce, Einstein AI, or Prompt Builder.
System Integrations: Proven track record connecting platforms via REST/SOAP APIs, microservices, and native connectors.
Data & SQL Expertise: Strong foundation in relational data modeling, data profiling, and SQL query optimization.
Web Development: Core skills in HTML, CSS, and JavaScript for CloudPages and template execution.
Problem Solving & Communication: Strong troubleshooting skills with the ability to explain AI/technical workflows to cross-functional stakeholders.

Bachelor's/master's in IT or Computer engineering (4+ Years)

Location: Gurgaon/Pune

Agentforce & AI Solution Engineering

Design, build, and deploy Agentforce agents, Topics, and Actions tailored for marketing automation and customer engagement workflows.
Configure Prompt Builder and integrate LLM-assisted decisioning into customer journeys and dynamic messaging.
Connect Agentforce with Salesforce Data Cloud and external APIs to supply real-time context and ground AI actions safely.
Establish guardrails, testing protocols, and compliance standards for AI-generated interactions.

Data Architecture & System Integrations

Design relational data schemas, Data Extensions, and customer profiles to support real-time AI decisioning and segmentation.
Build REST/SOAP API integrations, microservices, and webhooks connecting SFMC with internal backends, CDPs, and enterprise systems.
Write intermediate-to-advanced SQL queries (JOIN, GROUP BY, string/math functions) for data transformations in Automation Studio and Data Cloud.

Development & Technical Execution

Build dynamic, personalized logic using AMPscript, Server-Side JavaScript (SSJS), and frontend technologies (HTML, CSS, JavaScript).
Develop custom CloudPages, interactive forms, and API-triggered entry sources in Journey Builder.
Troubleshoot complex data flows, API failures, and agent execution paths using root-cause analysis.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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