Senior/Principal Forward Deployed Engineer
InformaticaResponsibilities
- Own end-to-end architecture, development, deployment, and production handoff of agentic AI solutions for strategic enterprise customers.
- Design and ship Agentforce systems involving agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
- Own data modeling, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
- Resolve complex data integration, model deployment, orchestration, and performance issues in production environments.
- Build agent performance dashboards and customer KPI reporting to monitor deployment health and business outcomes.
- Develop proofs of concept and MVPs, create reusable assets and internal frameworks, and codify customer-derived implementation patterns.
- Mentor engineers through code reviews, pairing, and shared codebases while providing technical leadership on strategically important deployments.
- Partner with Deployment Strategists and customer stakeholders to translate business challenges into production agentic AI solutions.
- Surface field insights, product gaps, and edge cases to Salesforce Product and Engineering teams.
Requirements
- 6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
- Bachelor’s degree in Computer Science or a related field.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with familiarity with the others.
- Experience integrating LLMs into production, using LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices.
- Deep experience in data modeling, processing, and analytics, with proficiency in Salesforce Data 360, Snowflake, or Databricks.
- Strong Salesforce platform expertise, including Agentforce, Apex, Lightning Web Components, Flows, and Salesforce APIs.
- Experience mentoring technical talent and creating reusable frameworks, playbooks, or internal tooling.
- Clear communication with engineering peers, customer architects, and executive stakeholders.
- Willingness to travel approximately 25% of the time and work embedded with customer engineers.
- Preferred qualifications include Salesforce certifications, familiarity with DevOps or CI/CD practices, observability tooling, data governance frameworks, multi-cloud enterprise AI architecture, open-source contributions, technical writing, or conference presentations.
Benefits
- Salesforce provides benefits and resources intended to support balance and professional impact.
- The role requires approximately 25% travel and customer-embedded work.
- Salesforce uses AI tools in recruiting while retaining human responsibility for candidate selection and hiring decisions.
Tech Stack
Categories
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com