Lead AI Architect Job at Dynamic Search Solutions (London)

Sr Java/Java EE Architect / Lead Java Developer (AI)

The Java EE Developer are expected to contribute to the design, development, and...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

Deep hands-on experience in Java and Java EE development, including EJB, JPA, and SOAP-based services. Able to analyze legacy codebases and identify transformation paths for cloud migration
Proficiency in Java SE 1.8 and Java EE 8, including deployment on enterprise-grade application servers
Experience with object-relational mapping and integrating persistence layers with business logic
Ability to work with cross-functional teams including architects, business analysts, and security engineers to align development with business goals
Proven experience with, or strong understanding of, AI code analysis tools for static analysis, code understanding, and pattern recognition
Familiarity with DevSecOps practices, including automated testing, deployment, and monitoring
Exposure to cloud-native transformation strategies, including containerization, elastic scaling, and loosely coupled interfaces
Familiarity with Agile methodologies, sprint planning, and backlog refinement in collaboration with product owners and SMEs
Exceptional analytical and problem-solving skills, with a keen eye for detail
Strong understanding of software design principles and patterns

Job Responsibility

Analyze legacy Java EE components, including EJB, JPA , and SOAP services, to support architectural decision-making
Participate in application rationalization and transformation planning
Support technical walkthroughs and documentation activities to map current application behavior, dependencies, and integration points
Collaborate with architects and business analysts to help ensure modernization efforts retain core business logic and interoperability
Assist in migrating legacy systems to cloud-native platforms, emphasizing microservices and API-driven architectures
Utilize AI code analysis tools for examining legacy Java EE applications
Extract and document detailed business requirements and rules based on existing code
Work with business stakeholders and technical teams to validate and adjust identified requirements
Identify and record technical debt, design patterns, and architectural details within legacy systems

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

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

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

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

AI ML Architect

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

Lead AI Architect

Dynamic Search Solutions

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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