Security Architect

The Security Architect role focuses on designing secure architectures for cloud ...

Location

United Kingdom , Birmingham

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Security-first mindset
5+ year’s experience in information security, cloud security and architecture roles
Strong knowledge of security governance, risk and compliance frameworks (ISO 27001, NIST CSF/800‑53, NIS2, DORA)
Strong communication skills and ability to work with senior stakeholders
Experience mentoring teams or influencing security decisions
Google Cloud Platform (GCP) cloud‑native architecture design
Deep hands‑on experience with GCP security services and GCP security best practices
Experience architecting secure multi‑project setups and identity boundaries
Experience designing security for agent‑based AI systems and LLM‑integrated applications
Hands‑on experience with AI/LLM security controls (prompt security, model governance, secure APIs, orchestration security)

Job Responsibility

Translate business, data protection and security requirements into practical architectural designs leveraging industry frameworks (NIST, ISO 27001, CIS)
Design and maintain cloud‑native security architectures, with deep expertise in GCP architecture, security services, and secure workload design
Establish secure architectural patterns and standards across cloud platforms, with specific focus on GCP IAM, VPC Service Controls, Cloud Armor, Confidential Computing, and secure workload segmentation
Develop security design documentation, diagrams, and rationale aligned with business and compliance requirements
Apply risk‑based and threat‑based approaches to recommend secure and proportionate solutions
Designing security architectures for agent‑based AI systems, including orchestration frameworks, tool‑use agents, and multi‑agent workflows
Implementing AI/LLM security controls across: Model security (input/output filtering, model guardrails), Prompt security, adversarial prompt defense, prompt isolation, API & orchestration security, including secure agent tool use, Data security for vector stores, embeddings, and retrieval services
Performing AI‑specific threat modelling, including: Model extraction & poisoning, Hallucination‑driven risk, Sensitive data leakage, Toxic output & jailbreak attempts
Advising on secure integration of AI with cloud environments, focusing on compliant, privacy‑aware design
Conduct comprehensive risk assessments and threat modelling for cloud and AI systems

What we offer

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing
Our Learning and Development team ensure that there are continuous growth and development opportunities for our people
We also offer the opportunity to have flexible work options.

AI Solution Architect

Design expert responsible for creating end-to-end solution architectures that in...

Location

India , Chennai

Salary:

Not provided

Hogarth

Expiration Date

Until further notice

Requirements

Expert knowledge of enterprise integration patterns
Hands-on experience designing and implementing solutions using agentic frameworks (LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel)
Proficiency in working with vector stores and Retrieval-Augmented Generation (RAG) models
Experience designing AI systems on cloud platforms (Azure, AWS, GCP) with capabilities for hybrid deployments
Ability to align solution architecture with business and enterprise architecture using methodologies such as TOGAF
Strong knowledge in designing RESTful, GraphQL, and gRPC APIs, and applying microservices architecture principles
Understanding of enterprise-grade security requirements, including encryption, identity and access management (IAM), SOC2/GDPR compliance
7–12 years solution architecture
3+ years AI/ML systems
Enterprise experience required

Job Responsibility

Design enterprise-grade agentic AI solutions
Create integration strategies with existing systems
Define multi-agent communication patterns
Establish security and governance models
Conduct technology assessments and recommendations
Create technical documentation and standards
Support pre-sales and client technical engagements

What we offer

Attractive package
relocation benefits

Fulltime

Finance Operations (FinOps) Analytics Architect (with Agentic AI Expertise) - Vice President

The FinOps Analytics Architect is a senior technical leader responsible for driv...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Expertise in cloud architecture (AWS, Azure, GCP) with hands‑on cost optimization experience
Strong mastery of FinOps principles, cost models, and cloud financial governance
Experience with Python, SQL, Terraform/IaC, cloud billing datasets, and telemetry instrumentation
Understanding of LLMs, multi-agent architectures, RAG workflows, and AI operational cost models
Ability to design secure, monitored, and budget‑controlled environments for autonomous agents

Job Responsibility

Conduct deep architectural reviews of high‑spend cloud services to identify inefficiencies
Recommend code‑level and infrastructure changes—including serverless patterns, right‑sizing, and storage tiering—to reduce spend
Ensure engineering teams adopt cost‑efficient design standards to prevent cloud and on-prem “tech debt.”
Build cloud cost observability and on-prem analytics frameworks that provide real‑time usage and spend insights
Develop forecasting models, dashboards, anomaly‑detection systems, and financial models to support cloud budgeting
Integrate data from cloud providers, usage logs, telemetry, and AI agent activity streams
Develop automated governance scripts and IaC controls (Python, Bash, elasticsearch, etc) for proactive enforcement
Implement tagging standards, cost attribution, chargeback/showback frameworks, and compliance policies
Manage FinOps governance foundations promoting visibility, accountability, and cross‑team alignment
Design & Integrate Agentic AI Workflows into FinOps

Fulltime

Security Engineer, Agent Security

The team’s mission is to accelerate the secure evolution of agentic AI systems a...

Location

United States , San Francisco

Salary:

293000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services
Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods
Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines
Clear, concise communication that bridges engineering, research, and leadership audiences
comfort influencing roadmaps and driving consensus
Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one
Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices

Job Responsibility

Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack
Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale
Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability
Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

New

Systems Integration Specialist Advisor

The Systems Integration Specialist Advisor will lead the design, implementation,...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7-12+ years of experience in enterprise architecture, cloud engineering, or platform leadership
5+ years designing and deploying AI/ML or GenAI solutions in production
Strong expertise in Python, AI frameworks (TensorFlow, PyTorch, LangChain, etc.)
Deep understanding of LLM architecture, RAG systems, and agentic frameworks
Hands-on experience with Kubernetes, Docker, CI/CD pipelines
Strong cloud architecture experience (AWS/Azure/GCP certifications preferred)
Experience implementing DevSecOps practices
Strong knowledge of enterprise security frameworks and cloud security controls
Experience designing high-availability distributed systems

Job Responsibility

Design and architect enterprise AI/ML and GenAI platforms (LLMs, RAG, agentic AI, AIOps, automation)
Define scalable AI reference architectures aligned with business objectives
Lead end-to-end AI lifecycle management: model development, validation, deployment, monitoring, and governance
Establish standards for AI explainability, observability, and ethical AI practices
Architect AI solutions across AWS, Azure, or GCP environments
Design scalable data pipelines, model serving infrastructure, and distributed systems
Implement containerization (Docker) and orchestration (Kubernetes)
Build high-availability, resilient AI platforms with performance optimization
Establish CI/CD pipelines for AI/ML workloads
Implement Infrastructure as Code (Terraform, ARM, CloudFormation)

AI Architect

Location

United States , New York, NY / Edison, NJ / Chicago, IL

Salary:

233000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Must have SI experience with larger IT service provider
10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically
Proven experience designing and developing multi-agent AI systems in a production environment
Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments
Expertise in multi-agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen)
Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models
Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services
Strong background in data engineering, including building ETL pipelines and managing vector stores
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow)
Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)

Job Responsibility

System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Fulltime

AI Architect

Location

United States , New York, NY; Edison, NJ; Chicago, IL

Salary:

233000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Must have SI experience with larger IT service provider
10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically
Proven experience designing and developing multi-agent AI systems in a production environment
Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments
Expertise in multi-agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen)
Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models
Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services
Strong background in data engineering, including building ETL pipelines and managing vector stores
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow)
Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)

Job Responsibility

System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Fulltime

AI Architect

Role: AI Architect

Location

United States , New York; Edison; Chicago

Salary:

233000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Must have SI experience with larger IT service provider
10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically
Proven experience designing and developing multi-agent AI systems in a production environment
Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments
Expertise in multi-agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen)
Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models
Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services
Strong background in data engineering, including building ETL pipelines and managing vector stores
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow)
Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)

Job Responsibility

System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Fulltime

Security Architect – GCP & Agentic AI

NTT DATA

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 14, 2026

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