AI Native Product Architect Job at NTT DATA (Plano)

Contact Center AI Architect

Job Title: Contact Center AI Architect. Job Summary: Lead design solutions/solut...

Location

United States , Chicago

Salary:

72.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

8+ years of hands on technical experience in Contact Center & CX platforms
Proven experience delivering IVR, web chat, and AI-powered virtual assistant solutions
Solid technical understanding of cloud platforms (AWS/Azure/GCP), APIs, CI/CD, web technologies, and DevOps practices
Strong organizational and stakeholder management skills across technical and non-technical teams
Experience with Agile/Scrum or SAFe frameworks and tools (e.g., Jira, Confluence, Azure DevOps)
Excellent communication, leadership, and documentation abilities
Knowledge of APIs, JSON, XML, and OAuth
Experience with language: Node.js, Python
Familiarity with CI/CD pipelines/DevOps and version control tools like Git
Knowledge of customer journey mapping, persona design, and voice UX best practices

Job Responsibility

Lead design solutions/solution blue prints, artifacts/ hands on code involving Conversational AI, IVR systems, chatbot/web chat solutions, and cloud-native web applications
Collaborate with technology leads/developers, business SMEs, UX designers, and technology stakeholders to define technical deliveries
Drive integration of Voice and Web-based channels with back-end systems, APIs and analytics platforms
Coordinate with Cloud infrastructure teams (AWS, Azure, or GCP) to ensure scalable, secure, and high-performance deployments
Lead/design/architecting API integrations between internal platforms, external systems, and cloud services
Collaborate with development, infrastructure, and product teams to gather integration requirements and translate them into scalable technical solutions

AI Architect

Are you passionate about building intelligent, scalable AI systems that make a r...

Location

United States , Birmingham

Salary:

127100.00 - 198100.00 USD / Year

Daxko

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred)
8+ years in software engineering, architecture, or data science
3+ years designing and implementing enterprise-scale AI or ML systems
Proven experience architecting AI solutions using cloud-native tools (AWS SageMaker, Azure AI, OpenAI API, LangChain, etc.)
Deep understanding of LLMs, embeddings, model orchestration, reinforcement learning, and multimodal AI
Strong grasp of AI governance frameworks (NIST AI RMF, GDPR, SOC 2, PCI 4.0)
Experience building MLOps pipelines and scalable model deployment systems
Excellent communicator and collaborator who can bridge technical and non-technical teams
Strategic thinker who balances innovation with practicality
Lifelong learner passionate about exploring new tools and methodologies

Job Responsibility

Set the Vision: Define and maintain the company-wide AI architecture blueprint and roadmap to power automation, personalization, analytics, and intelligent decision-making
Establish Best Practices: Create and maintain AI development standards, model lifecycle processes, and governance frameworks to ensure scalability, fairness, and compliance
Drive Strategy: Partner with leadership to evaluate emerging AI technologies, frameworks, and vendors — shaping how we leverage everything from LLMs and vector databases to orchestration tools
Enable Reusability: Architect modular, reusable AI components and services that streamline development across multiple product lines
Collaborate & Build: Work with cross-functional teams to design secure, cloud-native AI services, APIs, and data pipelines
Champion Governance: Define AI model observability, auditability, and ethical use standards in partnership with InfoSec and Legal teams
Innovate & Educate: Lead internal workshops, mentor teams, and serve as an evangelist for AI adoption across the company
Represent & Inspire: Engage with external AI communities, vendors, and conferences to showcase our innovation and learn from the broader ecosystem

What we offer

Flexible paid time off
Affordable health, dental, and vision insurance options
Monthly fitness reimbursement
401(k) matching
New-Parent Paid Leave
Casual work environments
Remote work

Fulltime

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional development opportunities
Broad access to professional trainings including language courses, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card
Non-working day on the 31st of December

Fulltime

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional support and knowledge sharing
Ongoing development opportunities in multinational environment
Access to professional trainings, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card

Fulltime

Senior AI Product Engineer

As a one person team to start, you are both a product lead and the technical SME...

Location

Australia , Melbourne

Salary:

Not provided

FrankieOne

Expiration Date

Until further notice

Requirements

Recent experience in building AI applications with end to end ownership
10 plus years experience in engineering teams in an Agile environment using JS based frameworks like React
5 plus years developing & supporting Full Stack TS-based SaaS applications production in AWS/Cloud ecosystem
Experience in HTML5, ES6, CSS3/Sass, javascript, typescript, React, React Native for Web (optional), npm and other front-end technologies to deliver enterprise grade frontend applications
Experience in depth of back-end oriented technologies such as nodejs, typescript for managing BFF
Knowledge and experience in tracking technological developments especially AI with vendor offerings and ability to quickly evaluate their value proposition e.g AWS Bedrock
Experience in architecting & building enterprise grade AI applications with Data and AI governance, AI gateways, context management (RAG), inference/prompt management, tools/functions (MCP, A2A), memory & fine-tuning
Experience in capturing business requirements from stakeholders to documenting, architect and building AI applications for both internal and external users
Experience in designing web applications based on AWS well architectured principles, 12 factor web application principles, cloud based software architecture patterns (pub-sub, saga, circuit breaker etc)
Experience in designing reactjs based frontend and backend in nodejs or golang

Job Responsibility

Inspire others
Design with quality
Collaborate
Be proactive
Be an advocate for FrankieOne, for our product, and our values

AI Architect

As an AI Architect, you will design, develop, and implement innovative and scala...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
8+ years of experience in AI/ML solution design and architecture
Hands-on experience with Python, SQL, and frameworks like TensorFlow, PyTorch, and Hugging Face
Proven expertise in cloud platforms (AWS, Azure, GCP) and MLOps practices
Demonstrated ability to scale AI models into production environments
Strong problem-solving and analytical skills with a focus on business impact
Excellent communication and collaboration abilities
In-depth knowledge of AI/GenAI deployment techniques and advanced architectures
Fluent proficiency in both English and Polish

Job Responsibility

Architect scalable AI frameworks, ensuring seamless integration into enterprise systems
Oversee the development and deployment of AI solutions, with a focus on optimizing performance, scalability, and operational efficiency
Lead the design and execution of proofs of concept (PoCs) and pilot implementations to validate AI applications
Manage the transition of AI models from development to production, ensuring reliability, retraining cycles, and operational excellence
Implement best practices for infrastructure, including containerized deployments (e.g., Kubernetes, Docker), microservices and serverless architectures
Work with advanced tools, including vector databases, cloud-native AI platforms (AWS, Azure, GCP), and retrieval-augmented generation (RAG) architectures for enterprise LLM workflows
Stay ahead of emerging trends to ensure the adoption of the most effective tools and frameworks
Collaborate with data scientists, engineers, and business stakeholders to align AI strategies with organizational objectives
Translate business needs into technical specifications and scalable architectures
Oversee model performance monitoring and establish evaluation frameworks to identify areas for improvement

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Complex environment of working, professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card

Fulltime

AppSec & AI Security Architect

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or Engineering
10+ years of experience in application or product security architecture, preferably in large enterprise or SaaS environments
Proven expertise in secure application and API design, cloud-native security, and DevSecOps enablement
Proven expertise in secure application and API design, WAAP, and ASPM solutions
Strong experience with Kubernetes (K8s), containerization, and service mesh architectures
Hands-on experience implementing or governing GitOps pipelines and policy-as-code frameworks (e.g., OPA/Gatekeeper, Kyverno)
Knowledge of Zero Trust, data protection, and modern identity standards (OIDC, OAuth2)
Familiarity with AI/ML security risks, model governance, and responsible AI adoption
Deep knowledge of OWASP ASVS, NIST CSF, ISO 27034, and CIS Controls
Desired Certifications: CISSP, CSSLP, SABSA, CCSP, CKA (Certified Kubernetes Administrator), or CCSK.

Job Responsibility

Defining and maintaining secure application architecture patterns, reference designs, and reusable components across enterprise and cloud-native ecosystems
Performing architecture risk assessments and threat modeling for major application programs, APIs, and platforms
Leading adoption of Web Application and API Protection (WAAP) controls and Application Security Posture Management (ASPM) tools to enable continuous risk visibility and compliance
Embedding security controls in SDLC and CI/CD pipelines, including SAST, DAST, SCA, IaC, and container scanning
Designing and governing security for Kubernetes-based and containerized workloads, including service mesh and runtime protection
Developing and enforcing standards for API and microservices security, including authentication, authorization, and token lifecycle management (OAuth2, OIDC, mTLS)
Establishing secure-by-default configurations for CI/CD and GitOps pipelines (e.g., ArgoCD, Flux, Jenkins, GitHub Actions)
Partnering with engineering teams to design secure cloud-native and hybrid architectures across AWS, Azure, and GCP
Providing security guidance for applications leveraging AI/ML or LLM capabilities, such as input/output sanitization, model integrity, and data protection
Establishing application security KPIs, governance models, and maturity metrics

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion.

Fulltime

Data & AI Architect

We are seeking a highly skilled and experienced Data & AI Architect to join our ...

Location

United States

Salary:

130000.00 - 170000.00 USD / Year

MojoTech

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in data engineering, with a strong focus on cloud-native solutions
Expert-level proficiency with AWS data services and best practices. AWS and Databricks certifications are a significant plus
Exceptional Python programming skills for data engineering and automation
Experience with Databricks or Apache Spark for big data processing
Experience with at least one major cloud ML platform, eg AWS Sagemaker
Advanced SQL capabilities for data manipulation, querying, and optimization
Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions)
Solid understanding of data modeling principles and pipeline design patterns
Familiarity with modern DevOps practices and CI/CD for data solutions
Excellent problem-solving skills and the ability to translate complex technical concepts into clear explanations for non-technical audiences

Job Responsibility

Design, develop, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python
Design, develop, and implement end-to-end models and AI agents, from data preprocessing to deployment and monitoring
Implement and optimize large-scale data processing solutions using modern data platforms, for example Databricks, Snowflake, AWS for various client use cases
Collaborate closely with product managers, engineers, and business stakeholders to understand data consumption requirements and deliver high-quality data products
Ensure data quality, reliability, and security throughout the data lifecycle
Apply Generative AI concepts to data platforms for integration with LLMs, RAG architectures, and their practical application in enterprise solutions
Implement CI/CD pipelines and integrate data solutions into broader DevOps practices
Provide technical leadership and mentorship within project teams

What we offer

Medical, Dental, FSA
401k with 4% match
Trust-based time off
Catered lunches when in office
5 hours a week of self-directed, non-client work
Dog Friendly Offices
Paid conference attendance/yearly education stipend
6 weeks parental leave

Fulltime

AI Native Product Architect

NTT DATA

Location:
United States , Plano

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 26, 2026

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