GM - Solution Architect Job at Vodafone (Pune)

Gm - Solution Architect

We are seeking an experienced End-to-End Solution Architect to lead the design o...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

An experienced pre-sales Solution Architect with extensive exposure to complex, multi-tower opportunities within a large professional services environment
Highly skilled in solution design across one or more domains such as technology, customer care, business services, HR, supply chain or finance
Confident in effort estimation, staffing pyramids, productivity modelling and commercial optimisation for large-scale solutions
Comfortable influencing and collaborating with senior stakeholders, including C-level leaders, in a global and matrixed organisation
Knowledgeable about the telecommunications industry, with the ability to align solutions to sector trends and customer expectations
Educated to degree level from a leading university

Job Responsibility

Lead end-to-end solution definition for large, complex opportunities (typically exceeding €5m contract value) across multiple service towers and service units
Engage directly with customers, including senior executives, to understand strategic objectives and translate these into value-led solution propositions
Orchestrate integrated solutions across technology, business services, customer care and corporate functions, collaborating with domain and technology solution architects
Define platform, system and integration architectures aligned to customer requirements and VOIS capabilities
Develop end-to-end delivery, staffing and location models in close collaboration with service tower delivery owners
Drive make-or-buy and partner decisions to optimise use of VOIS assets and the wider partner ecosystem
Consolidate effort, cost and location estimates, ensuring inputs to pricing and commercial teams are accurate, realistic and margin-protective
Quantify delivery risks and certainty, supporting informed commercial and leadership decision-making
Present solutions to customers during bids and orals, acting as solution owner and incorporating customer feedback into iterative proposals
Provide independent quality assurance and solution reviews for both large and smaller service tower-led opportunities

What we offer

Exposure to some of the most complex and strategically significant customer opportunities across VOIS
The opportunity to work closely with global customers, senior leaders and diverse specialist teams
A role with clear influence on commercial outcomes, solution quality and customer success
A collaborative, international environment that values expertise, knowledge sharing and continuous improvement

Fulltime

Business Builder and Chief of Staff, AI Partnership Ecosystem

DXC Technology (NYSE: DXC) helps global companies run their mission‑critical sys...

Location

United States of America , San Francisco

Salary:

137900.00 - 256100.00 USD / Year

DXC Technology

Expiration Date

Until further notice

Requirements

Bachelor's degree required
5 to 8 years of experience in partnerships, alliances, business development, strategy, consulting, or a related field
Experience in technology, enterprise software, cloud, AI, or systems integration
Experience supporting enterprise customers or customers facing business initiatives
Strong Salesforce, reporting, business intelligence, and analytical skills
Strong financial acumen, including modeling, forecasting, business case development, and performance tracking
Excellent communication, executive presentation, and stakeholder management skills
Ability to manage multiple complex initiatives in a fast-moving environment
Demonstrated ability to build processes, solve problems, and execute in ambiguous or resource-constrained settings
Legally authorized to work in the United States without current or future sponsorship

Job Responsibility

Own partnership pipeline tracking, reporting, dashboards, and data integrity in Salesforce
Partner with sales operations, finance, marketing, recruiting, HR, solution architects, and delivery teams to support business execution
Build financial models, business cases, forecasts, and performance reporting for partnership investments
Prepare executive presentations, stakeholder updates, partner materials, and customer-facing content
Support partner relationship development with technical teams, GTM leaders, alliance teams, and executives
Participate in customer pitches, demos, proof of concepts, and joint partner engagements
Track AI market trends, competitive activity, partner roadmaps, and emerging partnership opportunities
Help define roles, screen candidates, support interviews, and assist with team buildout
Build operating rhythms, governance structures, and decision frameworks for the new business
Represent the VP and GM in meetings and partner discussions as needed

What we offer

Health insurance
Dental insurance
Vision insurance
Employee wellness
Life insurance
Disability insurance
Retirement savings plan
Paid holidays
Paid time off

Fulltime

Senior Software Engineer - AI Engineering and Productivity

The Role The AI Engineering and Productivity team in the Global Planning, Desig...

Location

United States , Austin; Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
6+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python , and preferably Angular
3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
Experience building or supporting data pipelines , ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark , or similar)
3+ years of experience with Kubernetes/Docker, Quarkus , and cloud platforms such as Azure, AWS , or GCP
Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
Hands on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
Willingness and demonstrated ability to learn and apply AI concepts , including working with data and APIs that support AI/ML and LLM based solutions
Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders

Job Responsibility

Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment

What we offer

Relocation benefits

Fulltime

Business Intelligence Data Analyst - GPSC

The Business Intelligence Data Analyst is a pivotal role within the Global Purch...

Location

United States , Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related field
5+ years of experience in data engineering, analytics infrastructure, and BI reporting in enterprise environments
Advanced proficiency in SQL, Python, Spark, and data modeling tools
Strong background in BI development (Power BI, Cognos, Tableau, Qlik, Looker) and front-end reporting
Proven experience with AI/ML integration and deployment in enterprise analytics environments
Demonstrated success leading modernization/migration projects and implementing scalable, compliant data solutions
Excellent communication skills for translating technical concepts to business stakeholders and mentoring team members
Hands-on experience with cloud data platforms (Azure, AWS, GCP), Lakehouse technologies (Databricks, Snowflake), and hybrid architectures
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Job Responsibility

Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains (Purchasing, Production Planning and Scheduling, Logistics, Supplier Quality)
Build and optimize robust AI/ML solutions to promote workflow automation and organizational efficiency
Champion the adoption of AI/ML-ready data infrastructure and advanced analytics methodologies
Develop and maintain logical and physical data models (star, snowflake, medallion architecture) for analytics and reporting
Oversee the development of BI dashboards and reports using leading platforms (Power BI, Cognos, Tableau, Qlik, Looker)
Establish and enforce best practices for data governance, security, master data management, and compliance
Collaborate with cross-functional teams, IT, and business stakeholders to align data architecture with strategic goals
Mentor and guide data engineers, BI developers, and analysts
conduct design reviews and promote technical excellence

What we offer

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Fulltime

Staff Software Engineer - Digital eCommerce

Work Arrangement: This role is categorized as hybrid. This means the successful...

Location

United States , Austin, Texas; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent work experience.
7+ years of rigorous software engineering experience, with a heavy concentration on enterprise-grade eCommerce solutions (shop, search, cart, checkout, order management) with full stack experience.
Extensive background in Site Reliability Engineering (SRE) principles, telemetry, and observability tools (Datadog) to ensure zero-downtime deployments and rapid incident resolution.
Extensive experience designing and building event-driven microservices, high-throughput RESTful APIs, and backend systems (e.g., Java, Python, Node.js).
Proven track record of mastering new languages, frameworks, and architectural paradigms quickly to solve complex business problems.
Strong hands-on experience with at least one major cloud platform (AWS, Azure, GCP) and containerization/orchestration.
Experience leveraging modern AI coding assistants and automation tools to enhance personal and team output.

Job Responsibility

Champion Operational Excellence: Help in platform management by establishing gold-standard monitoring, alerting, and incident response protocols, specifically for our Shopify infrastructure.
Shopify & eCommerce Leadership: Lead the deployment, configuration, and scaling of Shopify and custom eCommerce platforms, ensuring they can handle peak seasonal traffic with absolute reliability and low latency.
Architect for Scale: Design and implement highly available microservices and APIs that seamlessly integrate Shopify with GM's internal systems, IBM OMS, and external partners.
Drive AI & Engineering Excellence: Champion the integration of AI-assisted development tools (e.g., GitHub Copilot, AI-driven observability) to accelerate code delivery, automate repetitive tasks, and elevate team productivity.
Technical Mentorship: Provide strategic technical direction to a team of mid-level and senior software engineers, aligning architectural decisions with Digital Commerce business goals.
System Resilience: Partner tightly with DevOps and SRE teams to embed advanced observability frameworks (e.g., Datadog) and robust CI/CD pipelines directly into the engineering culture.
Innovate the Platform: Architect systems that support personalized recommendations, dynamic pricing, and real-time inventory visibility to continuously optimize the B2C eCommerce flow.

What we offer

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.

Fulltime

Staff Data Scientist - GM Motorsports

The Staff Data Scientist is a senior technical leader responsible for driving th...

Location

United States , Austin, Texas; Concord, North Carolina; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, Applied Mathematics, or a related quantitative field
equivalent experience considered
Typically 7+ years of hands-on experience in data science / machine learning roles, with significant experience leading projects or initiatives
Demonstrated experience in complex, high-stakes domains (e.g., motorsports, automotive, aerospace, manufacturing, or similar)
Expert-level proficiency in Python and core data/ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch and/or TensorFlow)
Strong foundation in statistical modeling, machine learning, and experimental design
Experience building and deploying production ML systems (CI/CD for ML, model serving, monitoring)
Proficiency with SQL and working with large, complex datasets (telemetry, time series, logs, sensor data, etc.)
Familiarity with cloud platforms and modern data stacks (e.g., Azure, Kubernetes, feature stores, ML pipelines)
Experience with time-series telemetry, simulation data, race strategy, or vehicle performance analysis is strongly preferred

Job Responsibility

Define and evolve the data science roadmap for GM Motorsports in alignment with program and competition priorities
Architect end-to-end ML and analytical solutions (from data ingestion and feature engineering to model deployment and performance monitoring)
Establish and enforce best practices in experimental design, model development, validation, and MLOps within the team
Lead high-visibility projects (e.g., race strategy models, performance prediction, simulation, telemetry analytics, audio/vision-based models) from problem framing through delivery
Translate ambiguous racing and business questions into clear problem statements, analytical plans, and measurable success criteria
Own technical decision-making, including method selection, trade-offs, and risk mitigation
Partner with race engineers, competition leaders, and program managers to identify the most valuable AI/ML opportunities
Build models and tools that directly support race weekend decision-making, vehicle development, and long-term performance analysis
Ensure solutions are usable in real workflows: robust, interpretable where needed, and integrated into existing tools and systems
Provide technical mentorship and code/analysis review for junior and senior data scientists

What we offer

This job may be eligible for relocation benefits

Fulltime

Senior Software Engineer - GM Motorsports

GM’s Motorsports IT team will analyze, define, and deliver the next generation o...

Location

United States , Austin, Texas; Concord, North Carolina

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Minimum 7 years of professional software development experience
Excellent technical knowledge of Python and web frameworks (e.g., Flask, Django)
Experience with front end frameworks like Angular/React
Experience with event streaming and message brokers (e.g., Kafka, Event Hubs Confluent)
Experience with cloud infrastructure (e.g., AWS, Azure, or GCP)
Experience deploying, maintaining, supporting containerized applications (Docker, Kubernetes)
Experience with SQL and NoSQL database technologies (Postgres, MongoDB, Redis)
Proven ability to write maintainable, testable and reusable code
Self-starter mindset with the ability to quickly learn and adapt to existing software ecosystems
Experience with Agile development methodologies

Job Responsibility

Build web applications using Python, AngularJS, and SQL and other modern technologies to support race day operations
Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem
Write high-quality code using systematic, repeatable development practices
Diagnose and resolve software issues related to code quality, security vulnerabilities, frameworks and usability
Collaborate closely with peers to align code with established design patterns while continuously developing your own technical skills
Integrate new applications seamlessly with our existing systems and infrastructure
Automate unit and end-to-end testing to ensure software quality, reliability, and ease of maintenance
Mentor and guide fellow software developers to elevate the team's overall capability
Optimize system performance, assess usability, document processes, and uphold rigorous technical standards
Manage build and release automation to ensure smooth, continuous delivery

What we offer

This job may be eligible for relocation benefits

Fulltime

Regional Delivery Lead

The AI Business Solutions Global Customer Success team is looking for an experie...

Location

Canada , Toronto

Salary:

128000.00 - 222400.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field OR equivalent experience
6+ years experience in in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance

Job Responsibility

Develop a deep understanding of the AI Business solution portfolio and how it transforms our customer’s business priorities and objectives. Using that knowledge identify key drivers to enhance the outcomes delivered by the AI Business Solutions portfolio. Align closely with internal teams including Business Architects, Sales Teams, Marketing and finance to ensure rapid adoption and deployment of key programs and initiatives
Synthesizes understanding and findings quickly to determine best practices and/or adjustments needed. Working directly with other teams develops options to scale quickly into other areas taking into account local conditions that could impact efficacy
Communicates and advocates strategy and insights to senior business leaders (e.g., GM-level, CVP) and conveys viewpoints through simple and consistent frameworks. Use executive presence to drive influence for broader execution at scale. Communicate changes clearly to stakeholders and field teams. Delivers learnings, recommendations, and implications to senior executives to facilitate ongoing feedback loop
Show command of the overall AI Business Solutions Portfolio with an emphasis on AI Workforce. Understand key levers for growth, how they relate to the data and be able to prioritize which efforts lead to fastest customer adoption and value. Be the subject matter expert on regional performance with depth in each area that is either overperforming or underperforming, leveraging knowledge to impact regional performance and global performance based on learnings
Role model “best team” in the world culture of our org
Lead work with optimism, clarity and empathy
Have accountability for driving results and always learning

Fulltime

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GM - Solution Architect

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

GM - Solution Architect

Gm - Solution Architect

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Senior Software Engineer - AI Engineering and Productivity

Business Intelligence Data Analyst - GPSC

Staff Software Engineer - Digital eCommerce

Staff Data Scientist - GM Motorsports

Senior Software Engineer - GM Motorsports

Regional Delivery Lead

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