Senior Consultant Data & AI
Job Location:
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Microsoft Industry Solutions -Global Center for Innovation and DeliveryCenter(GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 2000 exceptional people GCID presentsa great opportunityfor highly skilled services professionals to make a foray into consulting solutiondevelopmentand delivery roles. The ideal consultant is passionate about technology has breadth rather than specific product depth and has the drive and courage to articulate and stand up for a great solution delivering true value for the client.
As a Senior Data & AIConsultantyou willdesign and deliver modern cloud-nativeand AI-powered data solutions that drive measurable business outcomesdeliver quality engagements with yourexpertise either as an advisor reviewerorcontributorin high profile projects to ensure customer ideal candidate must have the ability to combine their technical skills leadership skills creativity and customer focus to deliver great solutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solutionexpertiseto architectural teams customers and partners. They apply deep technical and business knowledge to accelerate the adoption of Microsoft devices and services by ensuring strategic architectural and operational alignment to customer and partnerobjectives.
Responsibilities
Lead technical delivery of complexcloud nativeandAI enabledengagementscontributing as ahands-onindividual contributor and where required leading engineering teams to ensurehigh-quality predictable outcomes.
Define and drive the technology strategyfor large and complex customer engagements ensuring solutions are scalable securecompliantand aligned to businessobjectives architectural best practices and Microsoft reference architectures.
Design develop and deploy solutions on Microsoft Azure accelerating customer value through the effective use of Microsoft technologies platforms and delivery methodologieswhile meeting quality time and cost constraints.
Identifiesthe bestpractice approach for a project across a wide scope of technical issues and develops or reuses intellectual capital(IP)with customers world-wideandprograms and initiatives across Microsoft.
Identifiesdependencies and risks that go beyond the immediate scope andtimeframefor a complex contingency plans risk-mitigation implementation criteria and alternative strategies to manage short- and long-term risks and manages technical escalations.
Collaborates asappropriate with peers andcross-functional teamsto scale the business with existing high-stake or strategic customers by articulating/developing value propositionsforstrategic Microsoft products and services.
Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration transformation and operationalization ofAI/ML-powereddata solutions.
Continuouslyupskill selfto becomestrongFullstackdata engineer inspiretheirteam as much to be able to build future-ready skills collaboratewithotherspecialistteams product teams andcustomers to co-create innovative solutionsandhelp the customerstackle some of their biggest challenges.
Drives new ways of thinking across the division and subsidiary to improve quality engineering productivity and responsiveness to feedback and changing priorities.
Implement rapidprototypingandable toleadfrombrainstormingandwhiteboardingideastoproduction-ready solutionsdriven getbetter in thisanddeliverinnovationfor customersusingAzurestacks.
Embody Microsoftcultureandvalues
Qualifications
Qualifications
10 years of experience
Bachelors degree in computer science engineering or equivalent work relevant education is preferred.
Customer facing Project delivery leadership experience involving solution design project envisioning planningdevelopmentand deployment of complex solutions with minimum of 5 plus years.
One or more of the following certifications or other industry equivalent ones is a plus:
Microsoft Certified: Fabric Analytics Engineer Associate (DP600)
Microsoft Certified: Azure AI Engineer Associate (AI102)
Microsoft Certified:Azure Solution Architect Expert (AZ-305)
Areas of Expertise
Data Architecture & Platform Engineering
Lead enterprise data architecture/designacross cloud on-prem and hybrid environments designing scalable Data Warehouse Lakehouse and analytics platforms using Microsoft Fabric Azure Synapse aplus
Architect modern platforms using Azure Data Services serverless and microservices architectures including largescale data migrations platform modernization and multitenantsecurity hardeneddesigns
Apply deepexpertiseacross OLTP/OLAP columnar opensource and NoSQL databases (e.g. Cosmos DB Redis Cassandra MongoDB) with strong governance and access control models
AI-First Delivery
EmbedAI firstprinciples across solution design delivery workflows automation and intelligent orchestration for complex data andAI enabledprograms
Ownend-to-endtechnical executionarchitecture decisions engineering standards quality compliance and delivery governancealigning solutions to business outcomes
Help definedeliverystrategies milestones risk mitigation recovery paths and adoption ofAI nativedelivery models (MLOps intelligent pipelines)
Engineering Excellence &DataOps
Championhigh qualityengineering practices including coding standards architectural integrity performance benchmarks security testing observability and optimization
Drive DataOps and DevOps excellence using Agile methodologies Azure DevOps CI/CD and automation
Promote reuse through accelerators reference architectures shared components and continuous learning via certifications and emerging platforms
AI / ML & Intelligent Systems
LeadAI powereddata engineering MLready pipelines and operationalizedMLOpsusing Azure AI services
Applyhands-onexpertisein Python deep learning/Gen AIframeworks (PyTorch TensorFlow)orchestration frameworks likeLangChain/LangGraphprompt engineering RAG frameworks AI Search andagentic workflowson Azure AI stack
Integrate AI into enterprise data platforms enabling intelligent automation and applying Responsible AI principles (fairness governance security compliance interpretability)
Innovation &Technical Thought Leadership
Apply design thinking anduser centricapproaches to deliverhigh impactdata and AI solutions
Track and influence emerging technologies delivery models and platform strategy
Build and share intellectual property (IP) reusable assets and best practices to improve delivery predictability quality and efficiency
Team Leadership & Mentorship
Lead and mentor engineering teams fostering collaboration technical excellence and accountability
Provide guidance through design and code reviews coaching and feedback
Support professional development and build a strong inclusive engineering culture
Soft Skills & Mindset
Strong communicationand presentation skills with the ability to engage both technical and non-technical stakeholders.
Passion for mentoring knowledge sharing and continuous learning.
Proven adaptability tonew technologiesand evolving customer requirements.
Experience working in Agile/Scrum environments.
Awareness of AI technologies and their integration into cloud solutions.
Good to have:
Customer Co-InnovationMindset & Customer Enablement
Lead rapid prototyping pilots and early-stage production deployments for enterprise customers accelerating time-to-value
Translate from whiteboard to production with minimal friction engineering alongside customer teams to unblock delivery and adoption
Own troubleshooting across performance reliability cost security and data quality delivering outcome-driven engineering in ambiguous high-pressure environments
This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
IC
