Avanade

Manager

• Own delivery execution from mobilization through stabilization and client acceptance
• Own integrated delivery planning, milestones, dependencies, and readiness gates across modernization workstreams
• Ensure delivery commitments align with contractual scope, timeline, quality, and business outcomes
• Define and operate delivery governance, including Steering Committees, program boards, reporting cadence, and decision forums
• Own RAID management, delivery reporting, escalation handling, and executive narrative
• Ensure adherence to Avanade delivery quality standards and governance expectations
• Own scope baseline, change control, and alignment between delivery execution, contractual commitments, and financial targets
• Act as the primary client-facing delivery authority for executive communication, expectation management, and decision-making forums
• Drive client satisfaction, transparent communication, proactive risk management, and follow-on opportunities
• Orchestrate modernization workstreams, including code conversion, data migration, testing, validation, cutover, and stabilization
• Own migration and cutover risks, including data consistency, legacy dependencies, readiness gates, rollback planning, and business continuity
• Ensure testing governance across system integration testing, user acceptance testing, parallel run, defect leakage, stability, and functional equivalence
• Deliver on time and on budget against approved scope and milestones
• Fulfill contractual delivery commitments and governance standards
• Drive effective RAID management, escalation closure, and delivery reporting quality
• Achieve successful cutover readiness, stabilization, and client acceptance
• Collaborate across delivery, engineering, quality assurance, and client teams

Delivery Lead – Legacy Modernization Senior Manager

DevOps Engineer

• Define and lead Azure DevOps strategy aligned with enterprise and client objectives
• Lead GitHub and engineering transformation strategies
• Advise business and technology leaders on GitHub-powered AI adoption, AI-enabled SDLC practices, DevSecOps, and software engineering modernization
• Lead discovery sessions, assessments, workshops, and roadmap engagements with client stakeholders
• Champion modern software engineering, DevOps, DevSecOps, and platform engineering practices
• Design and implement GitHub Enterprise architectures, governance models, repository strategies, and operating frameworks
• Architect and optimize GitHub Actions workflows, CI/CD platforms, and software delivery pipelines
• Lead migrations from Azure DevOps, Jenkins, Bitbucket, GitLab, and legacy toolchains to GitHub
• Troubleshoot software delivery, deployment, source control, security, and infrastructure challenges
• Lead adoption of AI-enabled software development practices using GitHub Copilot and emerging AI engineering capabilities
• Advise on GitHub Copilot strategy, responsible AI governance, security, licensing, usage measurement, and cost management
• Establish adoption and value-realization frameworks connecting Copilot usage, license utilization, AI consumption, delivery outcomes, quality, and developer experience to client goals
• Guide AI cost management through model selection, prompting and context patterns, usage guardrails, license optimization, and consumption reviews
• Design and implement AI-assisted workflows for coding, testing, code review, documentation, troubleshooting, and developer productivity
• Develop reusable AI-enabled engineering accelerators, playbooks, and reference architectures
• Partner with business, engineering, and technology leaders to scale AI-driven transformation across the SDLC
• Coach leaders, engineers, architects, and developer champions on GitHub Copilot best practices
• Continuously improve reliability, security, governance, compliance, and operational effectiveness across software delivery platforms

Manager, GitHub DevOps Engineer/Architect

General

• Join Avanade’s Managed Services team delivering continuous value to clients’ businesses
• Design, deliver and support secure, on-premises infrastructure architectures and solutions based on Windows Server and the broader Microsoft technology stack
• Plan, build, deploy, harden, support and test platforms across software, hardware, identity, virtualisation, storage, networking, people and operations
• Support isolated, restricted, disconnected or highly controlled environments
• Work with Windows Server, Active Directory Domain Services, Group Policy, DNS, DHCP, PKI, Hyper-V, failover clustering, file and storage services, Microsoft Endpoint Configuration Manager, Windows Server Update Services, PowerShell, monitoring, backup and recovery technologies
• Maintain secure, reliable and supportable platforms through a high-touch managed services partnership model
• Explain technical issues, risks and recommendations to technical and non-technical stakeholders
• Continuously improve client environments through secure configuration, disciplined patching, automation, lifecycle management, technical debt reduction and platform evolution
• Develop trusted relationships with internal and external stakeholders
• Diagnose complex infrastructure, identity, virtualisation and platform issues
• Produce and maintain technical designs, build documents, as-built records, operational procedures, runbooks and support documentation
• Provide senior technical expertise to projects, security teams and business areas

Technical Specialist

IT Support

• Architect, design, and oversee enterprise-scale cloud-native solutions on Microsoft Azure
• Lead architecture and delivery for complex full stack applications using React, Angular, TypeScript, and mobile frameworks as needed
• Provide technical leadership across .NET, C#, Python, Node.js, microservices, APIs, event-driven architectures, and distributed systems
• Own end-to-end Azure architecture covering networking, security, governance, identity management, observability, resilience, performance, and cost optimization
• Define and implement enterprise Infrastructure as Code standards using Terraform, Bicep, ARM Templates, and Azure DevOps pipelines
• Lead architecture reviews, technical design sessions, and solution governance across concurrent projects
• Drive application modernization, cloud migrations, and hybrid cloud integration strategies
• Guide engineering teams in AI and Generative AI solutions using Azure OpenAI, Azure AI Services, Agentic AI frameworks, RAG, vector databases, and enterprise AI architectures
• Establish architecture standards, engineering best practices, coding standards, security requirements, and cloud governance frameworks
• Collaborate with executives, business stakeholders, product owners, program managers, and engineering leadership
• Lead globally distributed architects, developers, DevOps engineers, data engineers, and QA resources across onshore and offshore models
• Drive Agile and Scrum practices, delivery oversight, risk management, estimation, roadmap planning, and technical project leadership
• Mentor architects and senior engineers and foster technical excellence and continuous improvement
• Evaluate emerging technologies and develop strategic recommendations
• Ensure compliance with enterprise security, privacy, governance, regulatory, and compliance requirements

Azure Enterprise Architect – Full Stack, AI Solutions

Business Analyst

• Tradurre i requisiti aziendali in soluzioni di business su tecnologia Microsoft Dynamics CRM
• Identificare e coinvolgere le parti interessate per la raccolta e documentazione dei requisiti
• Contribuire alla gestione dei requisiti, assicurandone tracciabilità e riutilizzo
• Supportare il trasferimento dei requisiti funzionali ai team di sviluppo e test
• Collaborare con le parti interessate per evolutive alle soluzioni CRM
• Guidare i progetti e formare gli utenti
• Ottimizzare i processi e supportare i clienti

CRM Business Analyst – Functional Expert

Full-stack Engineer

• Disegno, guida e supervisione tecnica di soluzioni complesse basate su Microsoft Dynamics 365 e Power Platform
• Coordinamento tecnico delle risorse di sviluppo, indirizzo architetturale, supporto nelle scelte di design e nelle fasi critiche di implementazione
• Implementazione diretta delle soluzioni, con focus su componenti core, integrazioni e tematiche complesse
• Definizione e applicazione di pattern di sviluppo per scalabilità, manutenibilità, sicurezza e performance
• Collaborazione con Solution Architect, Delivery Lead e Service Manager per garantire qualità, coerenza tecnica e rispetto degli standard di Factory
• Supporto agli stakeholder interni ed esterni nella traduzione dei requisiti di business in soluzioni tecniche
• Contributo al miglioramento continuo tramite standard tecnici, linee guida, asset riusabili e acceleratori di Factory

CRM Technical Lead – Microsoft Dynamics 365

Solutions Engineer

• Supportare la pianificazione, analisi e design di soluzioni CRM evolute con Dynamics 365, Power Platform e AI Copilot
• Contribuire alla progettazione e costruzione di architetture CRM scalabili, sicure e integrate con sistemi enterprise e cloud
• Gestire escalation e risoluzione di problematiche, anche tramite AI
• Assicurare la qualità del progetto con KPI, test automatizzati e best practice di sicurezza
• Favorire il miglioramento continuo e l’adozione di nuove tecnologie
• Collaborare con team globali/offshore e stakeholder internazionali
• Gestire tutte le fasi dei progetti, dalla pianificazione alla delivery e al supporto evolutivo

CRM Solution Developer – Microsoft Dynamics 365

Account Manager

• Build trusted client account relationships with Accenture and Microsoft stakeholders and clients
• Lead sales, revenue, delivery oversight, and client satisfaction for Microsoft-focused deliverables
• Create, own, execute, and maintain strategic business growth plans on the Microsoft platform across client accounts
• Act as a Microsoft advisor and primary contact for clients and Accenture Account Leadership
• Build and manage Microsoft relationships with client C-suite stakeholders
• Manage strategic client relationships through account teams
• Develop and implement relationship management plans for complex existing accounts
• Identify customer outcomes and needs, introduce internal specialists, analyze customer data, and develop customer requirements
• Develop solutions and generate opportunities through partner relationships
• Provide delivery oversight and deal support
• Lead Microsoft strategy development and implementation across client accounts
• Champion Microsoft AI and innovation initiatives and ensure resources are available
• Build credibility as a trusted advisor through Microsoft product knowledge and consulting expertise
• Direct cross-functional teams designing tailored Microsoft solutions, products, services, and contractual terms
• Oversee pricing strategies, contract terms, and risk controls for RFPs, tenders, and bids
• Identify opportunities to expand customers’ Microsoft footprint
• Develop and execute customer-specific renewal strategies

Technology Account Lead – Utilities

Security Engineer

• 複数プロジェクトのKPI（収益性、品質、納期）を総括管理する
• 組織リソースを最適化する
• C-Levelを含むクライアントへ戦略的な提言を行う
• Microsoftセキュリティを核とした高度な提案活動を主導する
• メンバーのキャリア開発を支援する文化を醸成する
• チームビルディングを実行し、メンバーのパフォーマンスを最大化する
• 顧客の課題を解決するアドバイザーとして次のビジネス機会を創出する

Manager, Security Solutions

Business Development Rep

• Own strategic new-logo and expansion growth across a defined set of large enterprise accounts
• Build multi-year account plans, identify whitespace, craft value propositions, and convert pipeline into large programs and long-term managed engagements
• Build senior executive relationships and map complex buying centers
• Engage C-suite and SVP/VP leaders to align strategy to Microsoft-led transformation roadmaps
• Lead end-to-end pursuits, including win strategy, solution and delivery coordination, proposals, pricing, and commercial structures
• Drive Microsoft co-sell through joint pursuit plans, Microsoft-priority alignment, and partner ecosystem leverage
• Own forecasting and operating rhythm, including pipeline hygiene, deal reviews, and stakeholder communication
• Deliver Microsoft-powered transformation through consulting and services across Azure, Data/AI, Modern Workplace, Security, and Business Apps

Business Development Sales Executive – Enterprise

Data Scientist

• Develop solutions using Python to build and consume REST APIs
• Integrate applications and pipelines with Azure cloud services
• Implement authentication mechanisms and access key management
• Develop and maintain ETL/ELT processes focused on data quality, governance, and traceability
• Process large volumes of data using Apache Spark and PySpark
• Perform data analysis and integration using SQL
• Develop, evaluate, and enhance predictive models and Machine Learning solutions
• Support Artificial Intelligence initiatives, including Generative AI and Large Language Model (LLM) applications
• Collaborate with cross-functional teams to integrate analytics solutions into digital products
• Translate business needs into data-driven solutions

Data Scientist, Mid-Level

Engineer

• Work with clients, Industry Leads, Domain Leads, Value Architects and Trust Architects to understand business priorities
• Shape commercially viable, technically feasible and production-ready solutions
• Operate autonomously in ambiguous client environments
• Build and deploy agentic AI systems end-to-end
• Build prototypes in Consulting to prove strategy is real
• Take use cases from prototype to production-grade systems in Studios
• Configure and deploy pre-built products into client environments
• Design on the Avanade Agentic Platform and Microsoft AI stack
• Apply agent-assisted development, automated evaluation, observability and production operations
• Work with Trust Architects to build evaluation, accuracy and guardrails into systems
• Contribute reusable components, patterns and assets from every engagement
• Work with Value Architects to keep delivery tied to measurable outcomes
• Carry context across phases so learning compounds
• Deliver production deployments achieving business value and client referenceability
• Ensure every prototype has a production path
• Demonstrate productivity through AI-native engineering practices and agent utilisation
• Meet accuracy and evaluation thresholds before release

Forward Deployed Engineer

• Partner with clients and Avanade Next architects and leads to understand priorities and translate them into AI-enabled solutions
• Identify meaningful AI value, challenge assumptions, and shape commercially viable, technically feasible, enterprise-scale solutions
• Convert business cases and transformation roadmaps into production-ready architectures and delivery plans
• Own engineering standards for the Forward Deployed Engineer track, including architecture, engineering practices, testing, evaluation, production readiness and operational support
• Evolve AI-native engineering practices including agent-assisted development, automated evaluation, reusable components, observability and production operations
• Define reference architectures, solution patterns and decision frameworks across Microsoft AI capabilities
• Set hiring, assessment and capability-development standards for the FDE track
• Lead the FDE career pathway and re-skilling model
• Deploy personally on complex, strategic, at-risk or reference-critical mandates
• Collaborate with platform, IP, products, delivery, quality, value and trust leaders
• Contribute reusable patterns, architectures, engineering assets and delivery lessons to the Avanade Next platform and delivery model

Lead Forward Deployed Engineer

Artificial Intelligence

• Set governance, risk and security guardrails before build begins
• Embed controls, human review and feedback loops as systems evolve
• Support regulatory and privacy positions with client and Avanade specialists
• Design and run evaluations, including accuracy targets, test harnesses and release evidence
• Hold the release gate with delivery and quality teams
• Work with FDEs to build trust and monitoring into systems
• Design adoption and change approaches through transparency, education and demonstrated outcomes
• Help clients redesign human-agent interaction to fit real work
• Track active usage and effective human oversight after go-live
• Support executive and Board confidence with governance and accountability frameworks
• Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets
• Provide independent challenge where trust risks are not being addressed
• Ensure governance, guardrails and security controls are in place before build starts
• Ensure target accuracy, safety and governance thresholds are met before production
• Drive adoption above the agreed threshold 90 days post-go-live
• Ensure compliance with responsible AI standards and client obligations

Trust Architect, Responsible AI, Risk & Governance

Data Engineer

• Lead AI architectural design and end-to-end solutioning and sales efforts
• Provide leadership and oversight for AI solution architecture
• Own sales cycles from opportunity identification through deal closure
• Partner with account teams and clients to develop AI opportunities and align solutions to measurable business value
• Translate business requirements into AI solution scope, value propositions, and scalable architectures
• Analyze client processes, systems, and data landscapes to identify AI transformation opportunities
• Lead estimation, technical design, and proposal development across pre-sales and delivery
• Deliver AI engagements as an AI SME, Solution Architect, or Technical Architect
• Provide governance, quality assurance, and best-practice guidance across AI project teams
• Facilitate client workshops, stakeholder meetings, and pre-sales presentations
• Develop AI assets, accelerators, and methodologies
• Collaborate across Avanade, Accenture, Microsoft, and partner ecosystems to share knowledge, drive innovation, and scale AI capabilities