IND Lead Software Engineer

IND Lead Software Engineer - GCC093
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Development
Key Responsibilities
Ability to design and implement advanced AI/ML workflows leveraging a combination of Out of the box Salesforce (Agentforce) capabilities and industry offerings from AWS/GCP, Vertex AI, and RAG architectures, including integration with vector and graph databases.
Ability to develop end-to-end generative AI workflows using custom solutions using Apex, Visualforce, Lightning Components, and Flows with attention to data integration ensuring data quality, validation, and monitoring, while optimizing for unstructured data and agentic workflows.
Build AI-driven systems to improve data and salesforce capabilities, ensuring compliance with industry best practices.
Integrate Salesforce with external systems via APIs and middleware tools.
Develop and maintain automation processes and custom applications.
Participate in code reviews, testing, and deployment activities.
Admin
Effectively manage user setup, roles, profiles, permissions, and security settings using traditional techniques and incorporating Agentforce templates to advance and reduce day-to-day operational management
Maintain data integrity and perform regular data audits.
Create and manage reports, dashboards, and workflows.
Configure custom objects, fields, page layouts, and record types
Innovation & Collaboration
Proactively identify opportunities to enhance user experience and system performance.
Contribute to POC development for emerging Salesforce features and integrations.
Champion a culture of experimentation, learning, and continuous improvement.
Required Skills & Experience
Experience as Salesforce Administrator and/or Developer with a strong foundational understanding of Salesforce data model, security model, and best practices
Experience in Apex, Visualforce, SOQL, and Lightning Web Components (expert)
Experience with Salesforce Flow, Process Builder, and Workflow Rules (expert)
Experience with REST/SOAP APIs and integration tools (intermediate/expert)
Experience with building and deploying GenAI enabled Agentforce workflows leveraging out of the box prompts and templates with human‑in‑the‑loop controls (beginner)
Strong data foundation knowledge. Familiarity with data warehousing and streaming technologies with experience in developing solutions to support large-scale data and analytics applications on cloud platforms such as Snowflake is highly desirable (intermediate/expert)
Excellent problem-solving, communication and stakeholder management skills.
Ability to work independently and manage multiple priorities across multiple projects
Proficiency with delivery tooling (Rally, dashboards) and SDLC governance (intermediate/expert)
Nice to Have
Salesforce certifications (e.g., Agentforce Specialist, Administrator, Platform Developer) strongly preferred.
Experience with CI/CD tools and DevOps practices in Salesforce (e.g. Copado).
Experience with Salesforce Experience Cloud, or Service Cloud.
Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models on AWS / GCP platforms is a plus
Experience in processing and leveraging unstructured data for AI applications is a plus
Experience in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation is a plus

Work arrangement
No