Sr. Forward Deployed Engineer

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., * 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., Deploys enterprise AI and agentic workflows for customers using Claude, LLM integrations, RAG, tool use, structured outputs, and responsible AI controls. Builds full-stack integrations across ServiceNow and enterprise systems, develops prototypes and production solutions, evaluates AI quality and safety, troubleshoots deployments, and contributes reusable components to NewRocket’s AI platforms. The role is highly customer-facing and requires approximately 70% travel. Top Skills: Anthropic ApiAWSCi/CdClaudeDockerEmbeddingsGitGCPInfrastructure As CodeJavaScriptLangchainLanggraphLlamaindexMicroservicesAzureModel Context Protocol (Mcp)PythonRest ApisRetrieval-Augmented Generation (Rag)Semantic KernelServicenowServicenow Flow DesignerServicenow IntegrationhubServicenow Now AssistServicenow Virtual AgentSQLTypescriptVector Databases NewRocket, Deploy and operationalize enterprise AI workflows, agents, RAG systems, and integrations across ServiceNow and connected platforms. Build full-stack components, LLM applications, APIs, prototypes, and production solutions using Claude and other AI technologies. Collaborate with customers and internal teams on discovery, implementation, troubleshooting, evaluation, security, responsible AI, and continuous improvement. Develop reusable accelerators, platform capabilities, integration patterns, and deployment practices while traveling extensively to support customer engagements. Top Skills: Ai AgentsAnthropic ApiAnthropic ConsoleAWSCi/CdClaudeClaude CodeDockerEmbeddingsFlow DesignerGitGCPInfrastructure-As-CodeIntegrationhubJavascript/TypescriptLangchainLanggraphLlamaindexAzureModel Context Protocol (Mcp)Now AssistPythonRetrieval-Augmented Generation (Rag)Semantic KernelServicenowSQLVector DatabasesVirtual Agent

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree., Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience., * 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 and experience integrating APIs, webhooks, authentication and authorization protocols, business applications, and systems of record.
• Experience developing unit tests, UI automation tests, integration tests, or evaluations for AI-enabled workflows; familiarity with monitoring and supporting production systems, identifying and resolving issues, and tracking performance or adoption measurements.
• Collaborates effectively within an agile or iterative framework with a problem-solving attitude and willingness to take a variety of approaches.
• Excellent analytical and time-management skills, with a proven ability to deliver value independently, manage dependencies, and adapt to changing priorities.
• Strong written and verbal communication skills, with demonstrated experience providing technical input, explaining complex concepts to technical and nontechnical audiences, and working cross-functionally with engineering, product, AI and Data, and wider organizational initiatives.
• Ability to participate in production support or an on-call rotation when required by the supported solution.
• Understanding of secure development, access controls, data privacy, operational reliability, and responsible AI practices when working with company, customer, and financial data.

Preferred

• Experience working with SaaS offerings in the technology and financial industries, including banking, credit unions, fintech, or another regulated environment.
• Experience in a forward-deployed, consulting, implementation, customer engineering, business systems, revenue operations, marketing operations, or other stakeholder-facing technical role.
• Experience building and deploying applications or integrations on Amazon Web Services using Kubernetes, event-driven services, infrastructure as code, or comparable cloud technologies.
• Experience with modern data warehouses, CRM, customer success, marketing, sales, or conversation-intelligence data and workflows.
• Experience in observability, OpenTelemetry, performance optimization, or operational reliability practices.
• Working knowledge of MCP or comparable tools for connecting AI systems to business applications, or experience contributing to an internal AI platform, shared engineering foundation, or community of practice.

Be an Early Applicant Remote Hiring Remotely in US 128K-160K Annually Senior level Remote Hiring Remotely in US 128K-160K Annually Senior level Build and support production AI agents, automations, dashboards, data pipelines, and integrations for business teams. Lead discovery, technical design, development, testing, deployment, monitoring, evaluations, responsible AI safeguards, and production support. Partner cross-functionally, create reusable platform components, track adoption and business outcomes, mentor others, and contribute to shared AI standards and capabilities. The summary above was generated by AI, The salary range for this position is: $128,000 - $160,000Cool Things to Know

Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more.

Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment., Remote United States 240K-270K Annually Senior level 240K-270K Annually Senior level Big Data * Cloud * Software * Generative AI * Big Data Analytics Own technical sales cycles for strategic enterprise accounts, including discovery, solution design, demonstrations, proofs of value, architecture reviews, and technical close. Help customers deploy and observe AI agents across platforms such as Databricks and Snowflake. Build technical champions, navigate procurement and infosec reviews, and partner with Account Executives to drive revenue growth and expansion. Top Skills: AirflowBigQueryDatabricksDatabricks GenieDbtOpentelemetrySnowflakeSnowflake Cortex NewRocket

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.