Lead the AI strategy and operations for a 600-person group, building a Center of Excellence and driving enterprise AI adoption across multiple regions.
Support the Strategic Sourcing organization through research, data analysis, process analysis, and project coordination, and develop AI-enabled solutions to improve sourcing decisions.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Hourly Salary USD 26.00 - 30.00 in Texas
Responsibilities
Support the Strategic Sourcing organization through research, data analysis, process analysis, and project coordination.
Own or materially contribute to an AI, analytics, or automation project supporting Strategic Sourcing.
Collaborate with sourcing leaders, commodity managers, and cross-functional stakeholders to understand business challenges and define structured requirements.
Gather, organize, and analyze structured and unstructured information, including pricing records, contracts, supplier data, market intelligence, and other business documents.
Translate sourcing challenges into workflows, data requirements, solution concepts, and project deliverables.
Requirements
Bachelor’s or Master’s degree in Business Analytics, Supply Chain, Information Systems, Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Finance, Economics, or a related field.
Nice to have: Previous internships, university projects, research, hackathons, analytics projects, or AI-related coursework
Design, develop, test, deploy, and improve secure, production-ready applications using Java and Python in cloud and hybrid data environments.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Translate stakeholder and business requirements into well-defined technical solutions, prototypes, and delivery plans.
Using Java and Python, create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Use SQL to analyze large, heterogeneous datasets, validate assumptions, generate insights, and measure solution impact.
Contribute to scalable, resilient architectures and support reliable deployment, monitoring, validation, troubleshooting, and iterative improvement.
Automate operational processes and help eliminate recurring issues to improve platform stability and efficiency.
Lead the design, development, and delivery of AI-powered applications and intelligent solutions across global engagements, leading teams of Full-Stack AI Engineers and translating client requirements into scalable solutions.
Responsibilities
Design and deliver enterprise AI applications leveraging Generative AI, LLMs, AI Agents, and RAG architectures.
Architect and integrate AI services, cloud platforms, APIs, and enterprise applications into scalable solutions.
Lead teams building AI applications using Python, React, backend APIs, microservices, and cloud-native technologies.
Drive adoption of SDLC, DevOps, CI/CD, MLOps, and AI Engineering best practices.
Translate business requirements into practical AI solutions and lead client workshops and presentations.
Lead strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
Compensation
The base salary for this position is $92,250 to $140,000 plus incentives that align with individual and company performance.
Responsibilities
Serve as the primary technical delivery lead for strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
Embed with customer teams to assess business processes, operating models, architecture, security posture, and AI readiness.
Translate complex business problems into scalable engineering solutions, roadmaps, and implementation plans.
Own delivery from strategy and architecture through engineering, deployment, adoption, and value realization.
Accelerate client outcomes by driving production-ready MVPs and scalable enterprise solutions.
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $166,900 to $278,100 Bay Area California offices – $173,800 to $289,700 All other offices locations in the US, including Sacramento – $139,100 to $254,900
Responsibilities
Partner with client stakeholders to understand business objectives
Lead discovery, requirements definition, solution design, and implementation activities
Design and deliver solutions across AI, cloud, data, digital, and platform engineering domains
Translate business requirements into scalable architectures, delivery plans, and engineering workstreams
Own solution delivery end-to-end
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
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