Lead the design, build, and operation of AI platform and infrastructure for PJT Partners, enabling secure, scalable, and compliant AI application development.
Compensation
Expected annualized base salary of $175,000 to $215,000.
Responsibilities
Design, build, and operate the firm’s AI platform, enabling developers to build and deploy Python-based AI applications
Implement and manage Azure AI Foundry environments, model deployments, AI hubs, project workspaces, and access controls
Integrate and operationalize third-party AI APIs with secure access patterns, API gateway controls, rate limiting, and cost monitoring
Build internal developer tooling and SDK scaffolding to accelerate AI application development
Build and maintain data pipelines using Azure Data Factory and Azure Databricks
Requirements
Bachelor’s degree in computer science, Computer Engineering, or related field
Lead cloud-native application design, development, testing, and modernization efforts across Google Cloud programs within PwC’s Advisory practice.
Compensation
The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.
Responsibilities
Setting strategic direction for Google Cloud-native engineering programs across AI-enabled application development and testing
Leading client discussions to shape solution roadmaps, delivery priorities, and modernization approaches for cloud-native products
Overseeing multiple software engineering efforts from requirements through architecture, build, test, and deployment
Driving development of generative AI solutions using Google Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation
Governing prompt engineering, LLM evaluation, LLM guardrails, and LLMOps practices to support reliable solution behavior
As a Engineer II, Google Cloud you will contribute to the design, build, testing, and optimization of cloud-native applications on Google Cloud, supporting work across the full software development lifecycle from new product ideas to modernization efforts.
Compensation
The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.
Responsibilities
Building cloud-native applications on Google Cloud across the software development lifecycle
Developing generative AI solutions using Google Vertex AI, LLM APIs, and Python
Designing prompt engineering, context engineering, and retrieval-augmented generation workflows
Testing application functionality, model behavior, and system performance across delivery stages
Applying agent orchestration, LangChain, LangGraph, and vector database methods to solution design
Requirements
Bachelor's degree
Nice to have: internship exposure
Nice to have: software engineering coursework
Nice to have: exposure to cloud-native application development and testing on Google Cloud
Since Axiom Space is a very complex work environment, we are looking for a resilient, high-energy early career Senior Electrical Integration and Test Engineer to own the test and test system requirements for the Axiom Extravehicular Mobility Unit (AxEMU) Portable Life Support System (PLSS).
Responsibilities
Own the test requirements and test system requirements
Design and implement test cases (scripts, procedures, etc.)
Lead test system/test setup detailed design
Integrate with other spacesuit and test functions including thermal control, flight software, power distribution, test facilities, and test support equipment
Document verification results and create verification closure records
Requirements
Bachelor's degree from an accredited college or university in Electrical Engineering, Computer Engineering, or equivalent
Nice to have: Bachelor's or Master's degree in Electrical, Computer Engineering, or related field
Nice to have: experience in integration and test in spacecraft, aerospace, defense, or other high reliability programs
Nice to have: exposure to interface control documents, requirements management tools such as Jama or DOORS
Nice to have: exposure to laboratory or test operations, equipment procurement, facility readiness, or test scheduling
As an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions that support ASML's business and technology objectives.
Responsibilities
Build and enhance AI-powered applications using modern LLMs, agent frameworks, and AI orchestration capabilities.
Develop and test prompts, AI workflows, RAG solutions, and agentic AI systems.
Assist in deploying secure and governed AI solutions on enterprise-approved platforms.
Contribute to MLOps and AI governance capabilities that improve transparency, reliability, and compliance.
Support evaluation frameworks, scorecards, benchmarking, and AI quality measurement processes.
Lead reliability engineering efforts for the Vantor Hub platform and related infrastructure services.
Compensation
The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually.
Responsibilities
Lead reliability engineering efforts for the Vantor Hub platform and related infrastructure services.
Design, implement, and maintain scalable CI/CD pipelines for software and infrastructure delivery.
Build, operate, and improve cloud infrastructure automation using tools such as Terraform, CloudFormation, Kubernetes, Docker, and AWS-native services.
Troubleshoot complex infrastructure, deployment, networking, performance, reliability, and production issues.
Improve service availability, scalability, maintainability, reliability, security, and overall operational readiness.
Requirements
Bachelor's Degree in Software Engineering, Computer Science, a related engineering field, or equivalent experience.