Sr. Forward Deployed Engineer

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.

Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.

As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.

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• The Sr. Forward Deployed Engineer independently drives the delivery of internal AI, automation, data, and workflow solutions for Alkami's business and functional teams. This hands-on individual contributor
• translates complex business needs into technical designs, production software, AI-enabled workflows,
• integrations, dashboards, and reusable capabilities. The role participates in the design process from
• beginning to end, demonstrates deep technical and business domain knowledge, and serves as a key
• partner to Revenue, Marketing, Product, Engineering, AI and Data, and other stakeholders. The role owns moderately complex initiatives through discovery, design, build, testing, deployment, adoption, and continuous improvement; contributes to the roadmap and technical standards; supports production systems; and helps other team members build their capabilities.

 Essential Duties & Responsibilities

• •Lead discovery with business and functional stakeholders to understand workflows, goals, constraints, and pain points; translate findings into requirements, technical designs, implementation plans, acceptance criteria, and measurable outcomes.
• •Independently design, build, test, and deploy moderately complex AI agents, skills, dashboards, automations, data pipelines, and integrations that improve team productivity and business outcomes.
• •Participate in the entire solution lifecycle, from prototyping and feasibility testing through production implementation, adoption, support, and continuous improvement.
• •Write, review, and maintain clean production code with automated tests, useful documentation, clear ownership, and alignment to team development standards.
• •Apply API-first and integration-focused approaches to connect business applications, systems of record, relational databases, and internal AI capabilities using secure and maintainable designs.
• •Map data flows and implement authentication, authorization, validation, logging, error handling, monitoring, and data provenance for integrations and AI-enabled workflows.
• •Build and maintain reusable code, libraries, workflow components, integration patterns, evaluation approaches, and implementation guides that can be adopted by other teams.
• •Build solutions that operate reliably in production and, when appropriate, read from and write to systems of record. Own testing, evaluations, security, data validation, observability, error handling, human-in-the-loop controls, and production support.
• •Use AI tools, coding agents, agent builders, and workflow automation as a default part of building, testing, documenting, analyzing, and operating software.
• •Partner with Product, Engineering, AI and Data, and functional teams to distinguish configuration needs from product or platform gaps and recommend practical, scalable solutions.
• •Design and execute evaluations, human-in-the-loop controls, and responsible AI safeguards; validate AI-assisted work before it is used in business processes.
• •Set up and maintain environment configurations, monitor system health, investigate production issues, and implement proactive measures to improve reliability and performance.
• •Track adoption, usage, hours saved, quality, and other agreed outcomes; use stakeholder feedback and operational data to prioritize improvements.
• •Contribute to the canonical set of approved skills, agents, dashboards, templates, and documentation for the supported function; retire or consolidate duplicative solutions when appropriate.
• •Actively participate in the weekly FDE forum by sharing demos, lessons learned, reusable patterns, technical challenges, and business outcomes; contribute to shared standards for architecture, security, evaluations, and responsible AI.
• •Provide training, technical support, and mentoring to junior engineers, business builders, and functional partners; share lessons learned with the FDE and broader engineering community.
• •Communicate technical options, tradeoffs, risks, dependencies, progress, and decisions clearly to technical, nontechnical, and executive stakeholders.
• •Dedicate approximately 20% of time to improving Alkami’s shared AI platform by contributing reusable connectors, components, skills, evaluations, guardrails, documentation, and patterns that enable other teams to build more effectively.
• •Respond promptly to production incidents or on-call issues, including troubleshooting and resolving critical disruptions to minimize downtime and business impact.
• •Apply security, privacy, accessibility, change-management, and responsible AI standards; protect company, customer, and financial data
• •Adhere to and uphold Alkami's Values.

Recommended Experience & Education

Minimum Years of Experience

Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree.

Education Level

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

Knowledge, Skills, & Qualifications

Required

• •Requires a minimum of 5 years of related experience in software development, technical implementation, data systems, automation, or a related field; or 3 years and an advanced degree.
• •Strong programming skills in Python, TypeScript, JavaScript, Java, C#, or a comparable language, with proven experience shipping and supporting production software, data systems, or workflow automation.
• •Experience working directly with business, functional, customer, or partner stakeholders to translate ambiguous needs into technical approaches and measurable outcomes.
• •Experience building or integrating AI-enabled workflows, agents, or automations using coding assistants, agent or workflow builders, prompt and tool design, evaluations, human review, and safeguards for sensitive data; applies AI-assisted workflows to enhance productivity in code generation, testing, documentation, and refactoring while validating outputs.
• •Demonstrated daily use and a portfolio of agents or automations are expected; general familiarity with AI tools is not sufficient.
• •Have shipped at least one production AI or agent-based system that was adopted by another team and continues to be actively used, with measurable value, clear ownership, and ongoing support.
• •In-depth understanding of the software development lifecycle, including design, development, testing, cloud-native deployment, monitoring, and production support; working knowledge of version control, code review, automated testing, and CI/CD practices.
• •Experience with SQL and NoSQL databases, data structures, caching mechanisms, data quality, and troubleshooting or optimizing data access and application performance.
• •Understanding and practical application of REST API best practices