Technical Delivery Lead (4617)

Come work for a large global financial and insurance products company! This is your chance !!Start a successful career in a renowned company in the international market! Great opportunity!Global insurance and asset management company seeks a responsible, organized, dynamic and team-oriented person.Responsabilidades e atribuiçõesRole SummaryWe are seeking a Technical Delivery Lead focused entirely on the execution and internal delivery of complex AI and digital transformation projects. You will provide hands-on technical oversight across all engineering workstreams, own the QA strategy, manage dependencies and risks across squads, and ensure sprint commitments translate into shipped, production-ready solutions. Your job is to keep the engineering team aligned, unblocked, and moving at a sustainable pace.This is not a client-facing role. End-to-end solution accountability and customer engagement sit with the engagement owner. Your focus is internal delivery excellence — reviewing architecture decisions, enforcing engineering standards, mentoring senior engineers, and driving continuous improvement across the delivery lifecycle.Key ResponsibilitiesTechnical Oversight & ArchitectureProvide hands-on technical leadership across AI/ML, automation, and integration delivery workstreamsReview and approve system architecture, technical designs, and solution proposals before releaseEnsure engineering output meets enterprise-grade standards for performance, scalability, security, and maintainability;Establish and enforce coding standards, design patterns, and technical best practices across the teamConduct architecture reviews and technical risk assessments for all active delivery streams;Quality Assurance & Engineering ExcellenceOwn the QA strategy across all delivery workstreams, including automated testing frameworks, code review gates, and acceptance criteriaDefine and monitor engineering KPIs: code coverage, defect escape rate, deployment frequency, mean time to recovery (MTTR), and change failure rateChampion shift-left testing practices, including AI model validation, integration testing, and performance benchmarkingLead post-incident reviews (PIRs) and blameless retrospectives to drive continuous improvementEnsure compliance with industry standards (SOC 2, ISO 27001, GDPR) and applicable regulatory requirementsInternal Delivery ManagementDrive technical delivery across multiple concurrent projects using Agile/Scrum methodologiesPartner with the Scrum Master, engineering leads, and the engagement owner to define sprint goals, manage dependencies, and remove blockersOwn technical risk registers, mitigation plans, and escalation pathways — surfacing risks early to the engagement ownerManage cross-functional coordination between AI/ML engineers, data engineers, DevOps, automation engineers, and QAPrepare technical status reports, roadmaps, and delivery milestones for internal consumption and engagement owner reviewTranslate high-level solution requirements from the engagement owner into actionable technical work for the engineering teamTeam Leadership & MentorshipMentor and coach senior engineers, fostering a culture of technical excellence and continuous learningLead hiring efforts including technical interview design, candidate evaluation, and onboardingDrive adoption of emerging technologies, frameworks, and AI/ML best practices across the teamFacilitate knowledge sharing through tech talks, brown bags, architecture decision records (ADRs), and internal documentationRequisitos e qualificaçõesRequired Qualifications / Skills8+ years of progressive experience in software engineering, with at least 3+ years in a technical delivery lead, engineering manager, or technical program manager roleProven track record of delivering complex, multi-workstream AI/ML or enterprise software projects end-to-endDeep understanding of modern AI/ML stack: LLMs (GPT-4o, Claude, Llama), RAG architectures, vector databases, agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen)Strong hands-on background in at least two of: Python, TypeScript/JavaScript, Go, or JavaExperience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Pulumi)Demonstrated expertise in QA strategy: automated testing (Pytest, Playwright, Selenium), CI/CD pipelines, and observability (Datadog, Grafana, OpenTelemetry)Strong internal communication skills — able to clearly convey technical status, risks, and trade-offs to the engagement owner and engineering peersStrong understanding of Agile/Scrum delivery, including sprint planning, backlog refinement, and velocity managementExperience with compliance frameworks: SOC 2, ISO 27001, GDPR, HIPAA, or financial services regulationsFluent English, both written and spoken.Proven experience in international projects, including collaboration with global and multicultural teams.Strong communication, stakeholder management, and problem-solving skills.Preferred QualificationsExperience in insurance, financial services, or other highly regulated industriesFamiliarity with MLOps practices: model versioning, A/B testing, drift detection, and automated retraining pipelinesCertifications: PMP, SAFe, AWS Solutions Architect, Azure Solutions Architect, or equivalentExperience managing hybrid onshore/offshore delivery teamsTrack record of building and scaling AI Centers of Excellence or innovation teamsFamiliarity with AI governance frameworks, responsible AI practices, and EU AI Act complianceExperience with platform engineering concepts: developer portals, internal developer platforms (IDPs), and self-service infrastructureBase RequirementsDevOps Experience All team members must demonstrate hands-on experience with CI/CD pipelines, containerization (Docker/Kubernetes), cloud platforms, and deployment automation.Infrastructure as Code Proficiency with at least one IaC toolchain (Terraform, Pulumi, CloudFormation/Bicep) is required across all roles — not just DevOps.Cloud PlatformsWorking knowledge of at least one major cloud provider (AWS, Azure, or GCP).Version Control & CollaborationGit-based workflows, code review practices, and collaborative development are expected of every team member.EducationBachelor's degree in Computer Science, Information Systems, Engineering, or a related field is preferred.Working Model & CollaborationBrazil based role with a 100% remote working model.Close collaboration with international stakeholders and teams across regions.Schedule flexibility may occasionally be required for critical milestones Informações adicionaisModelo de contratação:PJForma de atuação:100% remota