[Remote] Senior Software Engineer I & II Platform, AI Enablement

Note: The job is a remote job and is open to candidates in USA. Frontline Education is transforming how schools operate to ensure the success of every educator and student. They are seeking multiple Senior Software Engineers to join their AI Enablement Platform Engineering team, where the focus is on building and evolving foundational AI capabilities that support product and platform teams across the organization.ResponsibilitiesDesign, build, test, deploy, and support shared AI platform capabilities and operational AI servicesDevelop orchestration services, integration layers, reusable APIs, workflow infrastructure, and platform services that accelerate AI adoption across FrontlineBuild platform capabilities supporting provider abstraction, governance controls, telemetry, observability, explainability, auditing, and policy enforcementDesign and support distributed and asynchronous workflows leveraging event-driven architectures and messaging technologies such as KafkaContribute to operational AI workflow patterns including orchestration, retrieval workflows, tool integration, asynchronous execution models, and agentic workflowsSupport modernization and evolution of AI platform capabilities as technologies, governance requirements, and business needs matureContribute to monitoring, resiliency, incident response, troubleshooting, governance enforcement, and platform reliability initiativesPartner with downstream engineering teams to simplify AI adoption and reduce integration complexityHelp build safe, governed, and trustworthy AI platform capabilities that support enterprise operational requirementsContribute to solutions that improve observability, explainability, auditing, telemetry, access controls, and responsible AI practicesPartner with Security, Data Platform, Architecture, and Product Engineering teams to ensure platform capabilities align with organizational governance standardsHelp teams balance innovation, operational maturity, customer value, and risk managementSupport the development of reusable governance patterns that make responsible AI adoption easier across Frontline's ecosystemParticipate in discovery, refinement, and design discussions to evaluate requirements, identify tradeoffs, and shape practical AI platform solutionsCollaborate closely with Product Managers, QA Engineers, Security teams, Data Platform teams, Architects, Technical Leads, and Engineering Managers throughout the development lifecycleContribute to architectural discussions while aligning solutions to platform standards, governance expectations, and long-term engineering objectivesCommunicate technical concepts, implementation approaches, operational considerations, governance implications, and platform adoption strategies effectively to both technical and non-technical audiencesBuild strong partnerships across geographically distributed and cross-functional teamsDevelop secure, scalable, maintainable, and high-performing platform solutionsContribute to automated testing strategies including unit, integration, workflow, operational, and evaluation testingParticipate in code reviews and provide thoughtful technical feedback that improves engineering quality and consistencySupport CI/CD automation and continuous delivery practicesContribute to improvements in observability, governance, resiliency, explainability, scalability, and developer productivityPromote reusable engineering approaches, platform consistency, and sustainable development practicesMentor fellow engineers and contribute to a culture of ownership, collaboration, and continuous learningLeverage modern AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, and emerging technologies to accelerate development, testing, troubleshooting, documentation, workflow development, and solution explorationApply strong engineering judgment when evaluating and validating AI-generated outputsUse AI to improve productivity while maintaining high standards for governance, security, maintainability, scalability, explainability, and operational integrityChampion responsible and effective AI adoption across engineering workflowsHelp establish patterns that enable teams to confidently use AI while maintaining trust, reliability, and customer focusSkillsBachelor's degree in Computer Science or a related field, or equivalent professional experience5+ years of professional software engineering or platform engineering experienceExperience designing and building cloud-native distributed systemsStrong understanding of distributed systems, asynchronous workflows, API design, observability, operational telemetry, security concepts, and governance principlesExperience building scalable platform capabilities that enable engineering teams to deliver solutions efficiently and reliablyFamiliarity with AI orchestration, workflow execution, integration patterns, and operational AI conceptsAbility to independently design and deliver complex platform capabilities with high levels of quality, reliability, maintainability, and operational excellenceExperience participating in technical design discussions and evaluating implementation tradeoffsStrong understanding of testing, scalability, governance, and software quality practicesExperience mentoring engineers and contributing to engineering best practicesExperience leveraging AI-assisted development tools to improve engineering productivity while applying sound judgment and validation practicesDeep expertise designing, building, and evolving large-scale cloud-native platform capabilities that support AI, orchestration, governance, and distributed workflowsExperience leading technical solutions that span multiple teams, platforms, or engineering domainsProven success influencing engineering standards, governance models, architectural decisions, and platform directionStrong systems-thinking capabilities with experience balancing innovation, scalability, explainability, governance, reliability, security, and customer outcomesExperience driving adoption of reusable platform capabilities across multiple engineering organizationsDemonstrated success mentoring engineers and elevating engineering practices across broader teamsExperience influencing technical strategy, platform modernization initiatives, AI enablement efforts, and long-term platform evolutionExperience establishing effective AI-assisted engineering practices and helping teams adopt modern development workflows responsiblyAbility to anticipate downstream impacts and guide engineering decisions that improve long-term platform sustainability, governance, and adoptionExperience designing and building cloud-native distributed systemsStrong understanding of distributed systems and asynchronous workflowsStrong understanding of event-driven architecturesStrong understanding of API and integration platform designStrong understanding of observability and operational telemetryStrong understanding of security and governance conceptsStrong understanding of AI orchestration and workflow conceptsExperience with AWS cloud-native services including Lambda, EC2, S3, SNS/SQS, Container-based workloads, AI or data-related servicesExperience with Kafka or equivalent messaging technologiesExperience with DockerExperience with modern API and microservice architecturesExperience with CI/CD pipelinesFamiliarity with operational AI patterns including orchestration, retrieval workflows, agentic execution models, provider abstraction conceptsExperience working within Agile software development environmentsStrong communication, collaboration, and problem-solving skillsExperience with AWS Bedrock or similar enterprise AI platformsExperience building shared platform capabilities consumed across multiple product teamsExperience with observability, governance, auditing, or telemetry platformsFamiliarity with vector search, embeddings, retrieval workflows, and AI integration patternsExperience supporting AI or agentic enablement in enterprise application environmentsFamiliarity with Kubernetes or container orchestration platformsExperience working within multi-tenant SaaS environmentsExperience collaborating with geographically distributed engineering teamsExperience leveraging AI-assisted or agentic development workflows in professional software engineering environmentsBenefitsAnnual bonus opportunity.401(k) with company match.Comprehensive medical, dental, and vision coverage.Employee stock purchase opportunities where applicable.Tuition reimbursement and professional development support.Flexible time off and wellness-focused benefits.Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus.Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.Volunteer Time Off: Paid time to give back and support causes that matter to you.Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning.Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path.AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving.Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends—designed to inspire curiosity and continuous improvement.Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being.Employee Assistance Program (EAP): Confidential support for you and your family’s needs.Comprehensive Benefits: Health and financial benefits that support your happiness and future.A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive—personally, professionally, and purposefully.Company OverviewFrontline Education is an integrated insights software primarily focusing on human capital management. It was founded in 1998, and is headquartered in Malvern, Pennsylvania, USA, with a workforce of 501-1000 employees. Its website is http://www.frontlineeducation.com/.Company H1B SponsorshipFrontline Education has a track record of offering H1B sponsorships, with 3 in 2023, 1 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.