{"id":3951856,"url":"https://alion.io/job/whitecloak-ai-native-technical-lead","title":"AI Native Technical Lead","company":{"id":3775755,"name":"Whitecloak","domain":"whitecloak.com","url":"https://alion.io/company/whitecloak","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prompt Engineering","optional":false}],"status":"live","first_seen_at":"2026-11-09T01:23:56Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T04:15:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description v2.0\nWe are seeking an AI-Native Technical Lead to drive the delivery of next-generation software products through AI-powered engineering practices, rapid product development, and high-performing cross-functional teams.\nThis role goes beyond traditional software leadership. You will be responsible for leading teams that leverage AI as a force multiplier across the entire software development lifecycle-from product discovery and architecture design to implementation, testing, deployment, and operations.\nAs a Technical Lead, you will champion AI Harness Engineering: the systematic integration of AI agents, copilots, automation workflows, and AI-powered development practices into engineering processes to achieve 10x productivity, faster time-to-market, and superior product quality.\nResponsibilities:\nLead Development Team: Provide technical leadership and mentorship to engineers, fostering a culture of continuous learning, innovation, and AI adoption.\nRapid Product Development: Lead rapid prototyping, MVP delivery, and iterative product development using AI-assisted workflows and customer feedback loops.\nAI Harness Engineering: Design and implement AI-powered development workflows, including AI-assisted coding, testing, documentation, code reviews, and engineering automation.\nProject Planning and Management: Collaborate with project managers and stakeholders to define scope, priorities, timelines, and resource allocation.\nTechnical Oversight: Oversee all technical aspects of software projects, ensuring adherence to engineering standards, best practices, security, and quality.\nSolution Design and Implementation: Design and implement scalable, secure, cloud-native architectures that are AI-ready and maintainable.\nCollaboration: Work closely with Solutions, Product, Design, and Business teams to develop technology solutions that meet business objectives.\nIssue Resolution: Lead investigation and resolution of technical challenges, balancing immediate fixes with long-term architectural improvements.\nManage Technical Debt: Identify, track, and prioritize technical debt while maintaining delivery velocity.\nPerformance Evaluation: Conduct performance reviews, coaching, and career development planning for engineering team members.\nPolicy and Standards Implementation: Implement engineering standards, AI governance practices, company policies, and OKRs.\nOnboarding: Onboard and mentor newly hired engineers and enable them to effectively utilize AI-native development workflows.\nMinimum Qualifications\nHands-on experience in frontend, backend, and cloud infrastructure development with a strong understanding of the full software delivery lifecycle.\nExperience leveraging AI tools and automation to improve engineering productivity and delivery outcomes.\nQualifications:\nMinimum of 5 years in software engineering, with at least 3 years in a Technical Lead, Engineering Lead, or similar leadership role.\nProven ability to lead high-performing engineering teams and deliver complex software solutions.\nStrong experience building scalable, distributed, and cloud-native systems.\nDeep understanding of modern software architecture patterns, including Clean Architecture, Microservices, Event-Driven Architecture, DDD, and CQRS.\nExperience implementing DevOps practices including CI/CD, Infrastructure as Code, observability, and automation.\nExpertise with cloud platforms (AWS preferred), containerization (Docker), orchestration (Kubernetes), and serverless technologies.\nExperience with AI-assisted software development, prompt engineering, agentic workflows, AI copilots, or AI platform integration is highly preferred.\nStrong communication, leadership, problem-solving, and stakeholder management skills.\nAbility to balance engineering excellence, rapid product delivery, and business outcomes in a fast-paced environment\nDetailed Expectation\nAI-Native Engineering Leadership\nLead and mentor a team of software engineers operating in an AI-first development environment.\nEstablish AI-assisted engineering practices that maximize developer productivity while maintaining high quality and security standards.\nFoster a culture of experimentation, innovation, continuous learning, and responsible AI adoption.\nCoach engineers on effective AI utilization, prompt engineering, agent workflows, and AI-augmented software development.\nRapid Product Development\nLead rapid product development initiatives, enabling teams to move from idea to production in days or weeks rather than months.\nDrive iterative product delivery through rapid prototyping, MVP development, customer feedback loops, and continuous experimentation.\nLeverage AI tools to accelerate:\nProduct discovery\nRequirements generation\nTechnical design\nCode implementation\nTesting and QA\nDocumentation\nRelease management\nCollaborate closely with Product Managers, Designers, and Business Stakeholders to rapidly validate ideas and deliver business outcomes.\nAI Harness Engineering\nDesign and implement AI Harnesses that orchestrate AI tools, agents, workflows, and human oversight throughout the software delivery lifecycle.\nEstablish engineering standards for:\nAI-assisted coding\nMulti-agent development workflows\nAutomated code review\nAI-generated testing\nAI-powered documentation\nAI-assisted debugging and incident response\nEvaluate and adopt emerging AI technologies to continuously improve team effectiveness.\nDefine governance frameworks ensuring AI outputs remain secure, reliable, auditable, and aligned with business objectives.\nTechnical Architecture & Solution Design\nOwn technical architecture decisions for complex enterprise and product platforms.\nDesign scalable, secure, resilient, and AI-ready systems.\nLead architectural reviews and ensure adherence to engineering best practices.\nDrive adoption of:\nClean Architecture\nDomain-Driven Design (DDD)\nEvent-Driven Architecture\nCQRS\nMicroservices\nAPI-First Design\nCloud-Native Architectures\nEnsure systems are designed to support future AI capabilities and intelligent automation.\nEngineering Excellence\nEstablish and maintain high engineering standards across development teams.\nEnsure implementation of:\nCI/CD pipelines\nAutomated testing\nInfrastructure as Code\nSecurity-by-Design\nObservability and Monitoring\nManage technical debt proactively and balance speed with long-term maintainability.\nDrive engineering productivity through automation and AI-enabled workflows.\nTeam Development & Talent Growth\nConduct performance evaluations, coaching, and career development planning.\nIdentify and develop future technical leaders within the organization.\nLead onboarding and enablement of new engineers.\nPromote a culture of ownership, accountability, and continuous improvement.\nCross-Functional Collaboration\nPartner closely with Product, Solutions, Design, Data, AI, and Business teams.\nTranslate business goals into scalable technical solutions.\nProvide technical leadership during pre-sales, solution design, and client engagements when needed.\nCommunicate technical strategy effectively to both technical and non-technical 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