{"id":3310590,"url":"https://alion.io/job/alkami-technology-sr-forward-deployed-engineer","title":"Sr. Forward Deployed Engineer","company":{"id":1812276,"name":"Alkami Technology","domain":"alkami.com","url":"https://alion.io/company/alkami-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":128000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-28T16:34:07Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"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.\nFounded 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.\nAs 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.\nFollow us on Glassdoor and LinkedIn!\nThe 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 contributortranslates complex business needs into technical designs, production software, AI-enabled workflows,\nintegrations, dashboards, and reusable capabilities. The role participates in the design process from\nbeginning to end, demonstrates deep technical and business domain knowledge, and serves as a key\npartner 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.\n\nEssential Duties & Responsibilities\nLead 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.\nIndependently design, build, test, and deploy moderately complex AI agents, skills, dashboards, automations, data pipelines, and integrations that improve team productivity and business outcomes.\nParticipate in the entire solution lifecycle, from prototyping and feasibility testing through production implementation, adoption, support, and continuous improvement.\nWrite, review, and maintain clean production code with automated tests, useful documentation, clear ownership, and alignment to team development standards.\nApply API-first and integration-focused approaches to connect business applications, systems of record, relational databases, and internal AI capabilities using secure and maintainable designs.\nMap data flows and implement authentication, authorization, validation, logging, error handling, monitoring, and data provenance for integrations and AI-enabled workflows.\nBuild and maintain reusable code, libraries, workflow components, integration patterns, evaluation approaches, and implementation guides that can be adopted by other teams.\nBuild 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. \nUse AI tools, coding agents, agent builders, and workflow automation as a default part of building, testing, documenting, analyzing, and operating software. \nPartner with Product, Engineering, AI and Data, and functional teams to distinguish configuration needs from product or platform gaps and recommend practical, scalable solutions.\nDesign and execute evaluations, human-in-the-loop controls, and responsible AI safeguards; validate AI-assisted work before it is used in business processes.\nSet up and maintain environment configurations, monitor system health, investigate production issues, and implement proactive measures to improve reliability and performance.\nTrack adoption, usage, hours saved, quality, and other agreed outcomes; use stakeholder feedback and operational data to prioritize improvements.\nContribute to the canonical set of approved skills, agents, dashboards, templates, and documentation for the supported function; retire or consolidate duplicative solutions when appropriate.\nActively 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. \nProvide training, technical support, and mentoring to junior engineers, business builders, and functional partners; share lessons learned with the FDE and broader engineering community.\nCommunicate technical options, tradeoffs, risks, dependencies, progress, and decisions clearly to technical, nontechnical, and executive stakeholders.\nDedicate 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. \nRespond promptly to production incidents or on-call issues, including troubleshooting and resolving critical disruptions to minimize downtime and business impact.\nApply security, privacy, accessibility, change-management, and responsible AI standards; protect company, customer, and financial data\nAdhere to and uphold Alkami's Values.\nRecommended Experience & Education\nMinimum Years of Experience\nTypically requires a minimum of 5 years of related experience; or 3 years and an advanced degree.\nEducation Level\nBachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.\nKnowledge, Skills, & Qualifications\nRequired\nRequires 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.\nStrong 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.\nExperience working directly with business, functional, customer, or partner stakeholders to translate ambiguous needs into technical approaches and measurable outcomes.\nExperience 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.\nDemonstrated daily use and a portfolio of agents or automations are expected; general familiarity with AI tools is not sufficient.\nHave 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.\nIn-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.\nExperience with SQL and NoSQL databases, data structures, caching mechanisms, data quality, and troubleshooting or optimizing data access and application performance.\nUnderstanding and practical application of REST API best practices and experience integrating APIs, webhooks, authentication and authorization protocols, business applications, and systems of record.\nExperience 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.\nCollaborates effectively within an agile or iterative framework with a problem-solving attitude and willingness to take a variety of approaches.\nExcellent analytical and time-management skills, with a proven ability to deliver value independently, manage dependencies, and adapt to changing priorities.\nStrong 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.\nAbility to participate in production support or an on-call rotation when required by the supported solution.\nUnderstanding of secure development, access controls, data privacy, operational reliability, and responsible AI practices when working with company, customer, and financial data.\nPreferred\nExperience working with SaaS offerings in the technology and financial industries, including banking, credit unions, fintech, or another regulated environment.\nExperience in a forward-deployed, consulting, implementation, customer engineering, business systems, revenue operations, marketing operations, or other stakeholder-facing technical role.\nExperience building and deploying applications or integrations on Amazon Web Services using Kubernetes, event-driven services, infrastructure as code, or comparable cloud technologies.\nExperience with modern data warehouses, CRM, customer success, marketing, sales, or conversation-intelligence data and workflows.\nExperience in observability, OpenTelemetry, performance optimization, or operational reliability practices.\nWorking 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.\nThe salary range for this position is: $128,000 - $160,000Cool Things to Know\nNot 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.\nWork Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment.\nRecruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding.\nPay Transparency: As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington.\nThe Important Stuff\nAlkami Technology is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Alkami is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Alkami are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. 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