OverviewPenFed is hiring a (Hybrid) Forward Deployed Engineer, AI Agentic Delivery at our Tysons, Virginia location. The Forward Deployed Engineer (FDE) embeds directly with PenFed business and delivery teams to translate high-value, high-friction member and business problems into deployed, production-ready Agentforce and AI agent solutions in a matter of weeks rather than quarters. Working alongside senior engineers, architects, and a Deployment Strategist as part of a small, outcome-focused pod, this role is responsible for shipping real member-facing solutions using best-in-class AI tooling, own real technical components end-to-end, and help build PenFed's own agentic delivery capability so it depends less on external vendor pods over time.
ResponsibilitiesReasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties, and the position will perform other duties as assigned.
- Develop and deploy member and business solutions using approved AI development tools, including GitHub Copilot, ROVO, and Agentforce coding tools, as part of the day-to-day development workflow.
- Collaborate with senior engineers, architects, and the Deployment Strategist to deliver solutions, assume ownership of assigned components, and develop the capability to lead complex implementations.
- Develop solutions across Agentforce, Data360, platform, and voice/headless architectures, and provide field insights to PenFed product and architecture teams.
- Maintain current knowledge of emerging AI tools, models, and frameworks; evaluate their potential applications; and share relevant findings with team members and business partners.
- Develop and maintain production AI agents and digital experiences that execute actions in support of PenFed members.
- Design agent intelligence, including prompts, reasoning processes, tool calls, and integrations with PenFed systems, using Agentforce and current large language model techniques.
- Manage assigned technical components throughout the full lifecycle, including architecture selection, deployment, validation, and production monitoring.
- Design, build, integrate, and validate data models and pipelines using Salesforce Data Cloud, Data360, Snowflake, and PenFed core banking data platforms.
- Develop and maintain agent performance dashboards and business KPI reporting, including containment rate, average handle time, and sentiment/friction measures, to monitor deployment health and business outcomes.
- Contribute to the design, development, and rapid deployment of proofs of concept and minimum viable products.
- Collaborate with business stakeholders and vendor delivery teams, including Salesforce FDE pods, to deliver solutions, share best practices, and build internal team capabilities.
- Identify and communicate platform gaps, edge cases, and implementation insights to internal architecture teams and vendor product teams to inform future enhancements.
- Partner with the Deployment Strategist and business sponsors to translate PenFed business requirements and operational challenges into deployable agentic solutions.
QualificationsEquivalent combination of education and experience is considered.
- Bachelor's degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and relevant experience.
- Three or more years of software engineering or technical delivery experience; additional experience may be required for senior-level positions.
- Experience delivering technical solutions in customer-facing or business-facing environments.
- Experience managing and delivering business-facing projects in financial services or another regulated industry.
- Proficiency in one or more programming languages, such as Python, JavaScript/TypeScript, Java, or Apex.
- Experience working with large language models, generative AI, or prompt engineering.
- Knowledge of data modeling, application programming interfaces, and system integration patterns.
- Ability to communicate and collaborate effectively with business partners, technical teams, and risk or compliance stakeholders.
- Ability to develop quality code and evaluate technical outputs using established engineering practices.
- Demonstrated ability to learn and apply emerging technologies, tools, and development practices.
- Ability to work effectively in collaborative, delivery-focused team environments.
- Ability to travel occasionally to company or partner worksites, as business needs require.
- Experience using A.I. tools preferred.
Preferred Qualifications- Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist).
- Hands-on with cloud data platforms (Snowflake, Databricks, Data360).
- Experience with Genesys/Service Cloud Voice, Dynatrace, or MuleSoft.
- Experience across specialist AI delivery areas: data engineering, platform architecture, or headless/voice deployments.
Supervisory ResponsibilitiesThis position will not supervise employees.
Licenses and CertificationsSalesforce Agentforce, Einstein AI, or equivalent AI/agent platform certification preferred.
Work EnvironmentWhile performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.
*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*
TravelAbility to travel to various worksites and be on-call may be required.
Pay Transparency The anticipated starting salary range for this role is $69,000.00 - $146,491.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.
#LI-Hybrid
