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.
Lead AI security and risk management for PJT Partners, overseeing AI risk framework, vendor assessments, regulatory compliance, and internal AI program oversight.
Compensation
Expected annualized base salary of $150,000 - $175,000
Responsibilities
Own and maintain the firm's AI risk framework
Develop and enforce AI usage policies
Maintain an inventory of AI tools and assess risk profiles
Provide regular AI risk reporting
Monitor evolving regulatory environment
Requirements
Bachelor's degree in Computer Science, Information Security, Data Science, or a related field
Nice to have: Advanced degree in CS or related field
Nice to have: CISSP, CISM, CRISC or AI-focused credentials
Nice to have: Experience in regulated financial services environment
The Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI. The role shapes AI architecture strategy and delivers secure, scalable and responsible architecture solutions aligned with business priorities and enterprise architecture.
Compensation
Rates: $140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures, supported by clear options, decision records and implementation guidance.
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums, collaborating across business, architecture, data, cyber security, privacy, legal, procurement, delivery and operations.
Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI, shaping strategy and delivering secure, scalable and responsible solutions aligned with business priorities and enterprise architecture.
Compensation
$140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures.
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums.
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
Senior AI Architect providing enterprise-level architecture leadership for AI adoption within the Australian Government.
Compensation
$140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
Nice to have: Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment
Drive IT platform and application governance throughout the system development lifecycle, including design, development, release, change management, and retirement, ensuring regulatory compliance
Plan and execute Computer System Validation (CSV) and Computer Software Assurance (CSA) activities using risk-based GAMP 5 methodologies
Lead qualification activities for systems, platforms, cloud environments, and sandboxes, including IQ/OQ/PQ
Prepare and review validation documentation such as Validation Plans, Risk Assessments, URS, Functional Specifications, Traceability Matrices, Test Scripts, and Validation Summary Reports
Ensure compliance with GxP, 21 CFR Part 11, EU Annex 11, and applicable pharmaceutical regulatory standards
Lead and deliver AI Governance and Responsible AI engagements, advising clients on embedding Responsible AI principles across the AI lifecycle and implementing governance frameworks.
Responsibilities
Lead and deliver AI Governance and Responsible AI engagements
Advise clients on embedding Responsible AI principles across the AI lifecycle
Design, assess, and implement AI governance frameworks
Perform AI use‑case–level risk assessments
Define risk and control matrices for AI/ML systems
Requirements
Bachelor’s or Master’s degree in Engineering, Computer Science, Risk Management, or a related field
Nice to have: Professional certifications such as AIGP, ISO 42001, CISA, CISM, CRISC, CISSP, ISO 27001
Nice to have: Working knowledge of Python, ML concepts, or AI tooling
Lead a team of security specialists, drive the transformation of the Security Practice, and contribute to business growth in cyber security, security governance, AI security and modern security services.
Compensation
Smlouvu na dobu neurčitou. Roční variabilní bonus. Car allowance nebo služební vůz i k soukromým účelům.
Responsibilities
Lead and develop a team of specialists focused on cyber and network security
Manage implementation, support and development of solutions such as Cisco, Fortinet, Check Point, Palo Alto and Qualys
Develop competencies and services in Network Security, Vulnerability Management, EDR/XDR, SIEM, Security Monitoring, Threat Detection, PAM, Security Governance, AI Security
Grow portfolio of high-value consulting services
Collaborate with sales and presales teams to identify and develop business opportunities
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security would be advantageous.
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400 Bay Area California offices – $189,400 to $393,200 All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead large scale engagements and deliver high-quality client services
Manage and lead client engagement teams
Generate new business opportunities
Shape and lead AI-enabled transformation programs
Advise senior client stakeholders on AI operating models and governance
Requirements
Bachelor's degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or a related field
Nice to have: Post-graduate degree in Computer Science, Engineering, Information Systems Management, Finance or a related field
Nice to have: Program and/or Project Management certifications (PgMP, PMP, Agile)
Nice to have: AI, cloud, data, architecture, machine learning or responsible AI certifications
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