Ai Architect Job at NTT DATA (Mumbai)

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

Private Cloud AI Solution Architect

The Private Cloud AI Solution Architect is responsible for architecting solution...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Comprehensive knowledge of Generative AI (GenAI) and the ability to demonstrate, design, and architect solutions
Overall solutioning responsibility for HPE Private Cloud AI solutions that allow the customer to accommodate existing architectures providing a managed-service model data privacy, governance and compliance in order to achieve workloads like inference to achieve predictable operating costs
A track record of delivering AI, private cloud, or enterprise IT solutions with measurable success
Familiarity with NVIDIA-based solutions and HPE’s AI technologies is highly desirable
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return
Advanced understanding of aaS business model variations
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals

Job Responsibility

Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support
Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Azure AI Architect

Delivery Centric is seeking a highly skilled Azure AI Architect to lead the desi...

Location

Australia

Salary:

Not provided

Delivery Centric Technologies

Expiration Date

Until further notice

Requirements

10+ years of IT experience, with 5+ years in Azure AI, cloud architecture, and data-driven engineering
Strong hands-on experience with Azure OpenAI, Azure AI Services, Cognitive Search, Vector Databases, Form Recognizer, and AI Foundry
Expertise in deploying, fine-tuning, and optimizing generative AI and LLM-based solutions
Proficiency in Python, PySpark, MLOps, LLMOps, and AI/ML development practices
Solid knowledge of machine learning, NLP, data engineering, and large-scale data processing
Strong understanding of Kubernetes, Git, CI/CD, and cloud-native solution delivery
Excellent communication and stakeholder management skills with the ability to influence technical and business decisions
Relevant Azure or AI certifications are highly desirable

Job Responsibility

Architect and implement enterprise-grade AI, GenAI, and cognitive solutions using Azure OpenAI, Azure AI Services, AI Search, Vector Databases, and AI Foundry
Lead AI strategy, solution roadmaps, and multi-year transformation programs aligned to customer goals
Design, deploy, fine-tune, and optimize generative AI models and large language models
Build and govern scalable AI and data pipelines using Python, PySpark, Azure ML, MLOps, and LLMOps frameworks
Provide architectural guidance, governance, and leadership to technical and delivery teams
Develop hybrid/on-cloud AI architectures with strong security, data governance, and compliance guardrails
Conduct workshops, training sessions, and enablement programs to help customers adopt AI capabilities
Collaborate with business, engineering, and data teams to ensure alignment on solution design and delivery
Produce architecture blueprints, design documents, technical presentations, and best-practice guidelines

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

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

Solution Architect - Gen AI & Integration

The Solution Architects are part of the Architecture practice within the CTO org...

Location

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Experience with anyone API Management & Gateway platform
Experience with one or more major Integration Platform such as TIBCO, MuleSoft, Dell Boomi, Azure Integration Services etc.
Experience in designing data retrieval pipelines (RAG), implementing autonomous LLM orchestration frameworks, and Model Evaluation Services (MES) frameworks
Experience in Prompt Management - Strategic approach to prompt versioning, testing, and lifecycle management within production environment
Strong knowledge of integration security best practices
Experience with data exchange formats and transformation techniques
Experience in designing RESTFul APIs and Event-Driven Architectures
Experience of applying integration pattern and strong knowledge of architecture styles
Understanding of software delivery pipelines and how solution fits into CI/CD practices
Experience designing and deploying integration solutions within atleast one major cloud environments

Job Responsibility

Together with Lead Solution Architects, provide strong technical solutions for value streams, own those solutions from ideation to delivery, and ensure that business value can be realised through the correct implementation of the solutions
Lead and contribute to governance forums, ensuring solutions adhere to established standards and patterns, identifying and controlling divergences, and escalating where necessary
Build productive relationships with technical and business stakeholders to maintain alignment of technology and business strategies
Contribute to and help maintain a detailed understanding of the architecture for the value stream
Produce documentation of a high-quality and to a detailed level, ensuring that all decision points, building blocks, principles, rationale, roadmaps, and all interdependencies are understood, documented, and communicated across value streams
Contribute to the architecture repository using the Admiral architecture modelling tools and language
Write, or contributes to, articles, and papers and speak at conferences, user groups, or specialist subject groups on topics involved in Architecture. Play a leading role in special interest groups concerned with specialist field
Promote Architecture within Admiral and closely associated organisations
Support innovation by research, create and communicate reports, strategies and industry insights about emerging technologies, products, services, methods and techniques and their potential impacts, threats, and opportunities
Keep the Head of Solution Architecture and the CTO management team informed and escalate where appropriate

What we offer

Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave
eligible for up to £3,600 of free shares each year after one year of service
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Annual Holiday Allowance
Flexible Working
Simply Health
Private Health Cover
Critical Illness Cover

Fulltime

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

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