Senior Sourcing Lead – Cloud & AI Inference Job at Optiver (Chicago)

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Senior Sourcing Lead - Cloud & AI Inference

We are seeking a Senior Sourcing Lead – Cloud & AI Inference to join our Global ...

Location

United States , New York

Salary:

180000.00 - 250000.00 USD / Year

Optiver

Expiration Date

Until further notice

Requirements

10+ years of sourcing/procurement experience, with significant depth in cloud or hyperscaler procurement
Demonstrated success leading large-scale cloud negotiations and delivering multimillion-dollar savings or cost avoidance
Experience building and executing cloud category strategies at an enterprise level
Proven ability to influence and collaborate with senior technology executives, including Platform Engineering and CTO-level stakeholders
Excellent negotiation, analytical, and financial acumen, with deep understanding of cloud pricing mechanics
Strong leadership presence with ability to communicate complex cloud sourcing strategies clearly to stakeholders at all levels
Strategic thinker with demonstrated ability to balance cost optimization, innovation, and architectural flexibility
Expertise in leveraging cloud consumption data and cost models to drive sourcing strategy creation
Ability to thrive in a fast-paced, high-impact environment with competing priorities

Job Responsibility

Own and execute the cloud and AI inference category strategy across our organization (both within trading infrastructure and enterprise-wide)
Lead negotiations for high-value and complex hyperscaler agreements (Enterprise Discount Programs, Committed-Use Discounts, Private Pricing Agreements), ensuring best-in-class commercial outcomes and risk mitigation
Drive measurable cost optimization initiatives across cloud and AI inference spend through FinOps discipline, multi-cloud benchmarking, and consumption analytics, while balancing speed, scalability, and innovation
Influence senior stakeholders (up to executive leadership) to align on cloud sourcing strategies, architectural trade-offs, and commercial business cases
Establish and strengthen key vendor relationships with hyperscalers and emerging AI infrastructure providers to maximize long-term value and innovation
Monitor cloud market trends, hyperscaler pricing benchmarks, and supplier performance to proactively identify opportunities for savings and improvement
Represent Procurement as a trusted advisor to technology and business leadership on all cloud and AI inference investment decisions

Fulltime

Senior Lead AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

New

Senior Lead AI Engineer

At Capital One, you will help bring the transformative power of emerging AI capa...

Location

United States , San Jose; San Francisco; New York; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Francisco; Richmond; San Jose; Cambridge; McLean; New York

Salary:

286200.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java
9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems
Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Ai Engineer - Tech Lead

We are looking for an experienced AI Engineer – Tech Lead to lead the design, de...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with 4+ years in AI/ML
Proven experience in a Tech Lead or senior technical role
Strong Python programming skills
Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Experience with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Lead end-to-end design and implementation of AI/ML and Generative AI solutions
Own AI system architecture including model lifecycle, pipelines, and inference services
Review code, models, and architectures to ensure quality, scalability, performance, and security
Mentor and guide AI engineers and data scientists
Define engineering best practices and MLOps standards
Design, train, fine-tune, and deploy ML, DL, and LLM-based models
Build pipelines for data ingestion, preprocessing, training, and evaluation
Implement prompt engineering, RAG pipelines, and agentic workflows
Optimize models for accuracy, latency, and cost
Architect cloud-native, scalable AI solutions

Fulltime

AI Engineer - Tech Lead

The AI Engineer – Tech Lead role involves leading the design, development, and d...

Location

United States , Dallas

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
4+ years in AI/ML
Proven experience in a Tech Lead or senior technical role
Strong Python programming skills
Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Experience with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Lead end-to-end design and implementation of AI/ML and Generative AI solutions
Own AI system architecture including model lifecycle, pipelines, and inference services
Review code, models, and architectures to ensure quality, scalability, performance, and security
Mentor and guide AI engineers and data scientists
Define engineering best practices and MLOps standards
Design, train, fine-tune, and deploy ML, DL, and LLM-based models
Build pipelines for data ingestion, preprocessing, training, and evaluation
Implement prompt engineering, RAG pipelines, and agentic workflows
Optimize models for accuracy, latency, and cost
Architect cloud-native, scalable AI solutions

Fulltime

Senior Software Engineer, Managed AI - AI Platform

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'...

Location

United States , San Francisco, CA; Sunnyvale, CA

Salary:

172425.00 - 209000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science/Engineering
4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Experience with distributed systems, cloud services (compute, storage, networking, database), and delivering early-stage projects quickly
Experience with Generative AI (LLMs, Multimodal) and familiar with AI infrastructure (training, inference, ETL pipelines)
Proficient with container runtimes (e.g., Kubernetes), microservices, REST APIs, gRPC, and the full software development lifecycle including CI/CD

Job Responsibility

Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution
Model catalogs for managing and versioning AI models
Scheduling mechanisms optimized for cost and performance
Architect and scale infrastructure to handle millions of API requests per second
Implement robust monitoring and alerting to ensure system health and 24/7 availability
Collaborate closely with product management, business strategy, and other engineering teams to define the AI platform roadmap
Influence the long-term vision and architectural decisions of the platform
Contribute to open-source AI frameworks and actively participate in the AI community
Prototype and rapidly iterate on emerging technologies and new features

What we offer

Restricted Stock Units
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Senior Software Engineer, Managed AI - AI model LifeCycle

The Senior Software Engineer for the Model LifeCycle team will contribute to bui...

Location

United States , San Francisco

Salary:

172425.00 - 209000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
Experience delivering production-ready features
Familiarity with essential cloud-based services (e.g., compute, storage, networking)
Familiarity with Generative AI (Large Language Models, Multimodal)
Experience with AI infrastructure components (training, inference)
4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function

Job Responsibility

Implement and maintain systems for fine-tuning large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling
Implement and maintain end-to-end training pipelines for Large Language Models
Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling)
Develop and maintain core agent execution infrastructure
Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning
Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs
Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management
Engage with the open-source LLM ecosystem

What we offer

Restricted Stock Units
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Senior Sourcing Lead – Cloud & AI Inference

Optiver

Location:
United States , Chicago

Category:
IT - Administration

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 16, 2026

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Senior Sourcing Lead – Cloud & AI Inference

Optiver

Location:United States , Chicago

Category:IT - Administration

Contract Type:Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:May 16, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Job Posted:
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