Lead AI Technical Architect Job at Randstad (City of 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

Technical Lead - Full-Stack AI Engineer - Private Equity SaaS

Our client, a cutting-edge SaaS platform for private equity and venture capital,...

Location

United States , Chicago

Salary:

170000.00 - 200000.00 USD / Year

Selby Jennings

Expiration Date

Until further notice

Requirements

6+ years in full-stack development
Strong skills in Go, Python, Node.js, and modern frontend frameworks (React, Next.js.)
Hands-on with LLMs (OpenAI, Anthropic preferred) and vector search (Pinecone, pgvector.)
Experience deploying in cloud environments (AWS, Azure, GCP.)
Startup-ready: thrives in ambiguity and owns projects end-to-end while moving fast and not overthinking.

Job Responsibility

Build scalable full-stack applications integrating AI agents into a secure SaaS platform.
Develop and optimize LLM pipelines, prompts, and backend systems (Supabase, Postgres, vector DBs).
Architect APIs and microservices for data processing and retrieval.
Implement responsive, high-performance frontend interfaces for complex workflows.
Ensure compliance with SOC 2, GDPR, and SEC standards.
Collaborate with product and design teams to translate requirements into seamless user experiences.

What we offer

equity

Fulltime

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/ML Technical Lead

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML development, including leading technical teams
Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems
Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration)
Experience in Agentic AI
Experience in Computer Vision
Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods
Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.)
Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure)

Job Responsibility

Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications
Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines
Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations
Mentor and lead a team of ML engineers, data scientists, and AI developers
Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps
Optimize model performance, latency, reliability, and cost efficiency
Evaluate new AI frameworks, libraries, and models for integration into the stack
Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring

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

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

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

Select Country

Lead AI Technical Architect

Randstad

Location:
United Kingdom , City of London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 17, 2026

Expiration:
August 09, 2026

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