Business Intelligence Engineer (AWS / AI Exposure) Job at Morson Talent (Swindon)

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

India , Mumbai

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

United Kingdom , Leeds

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

Industry Consulting Manager

We are seeking a highly experienced and hands-on AI Architect to lead enterprise...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20–25 years of overall IT experience, with significant expertise in Artificial Intelligence, Enterprise Architecture, Data Platforms, and Solution Engineering
Deep expertise in AI/ML architecture, Generative AI, NLP, and Large Language Models (LLMs)
Strong experience with AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar
Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud
Strong understanding of data engineering, big data technologies, and distributed systems
Experience with vector databases, RAG architectures, AI agents, and prompt engineering
Expertise in MLOps/LLMOps tools and CI/CD pipelines
Strong programming skills in Python, Java, or Scala
Experience with Kubernetes, Docker, APIs, and microservices architecture
Knowledge of enterprise integration patterns and security architecture

Job Responsibility

Define and lead enterprise AI architecture strategy aligned with business objectives
Design scalable, secure, and high-performance AI/ML platforms and solutions
Architect end-to-end AI ecosystems including data ingestion, model training, deployment, monitoring, and governance
Evaluate emerging AI technologies, frameworks, and platforms for enterprise adoption
Establish AI reference architectures, design standards, and best practices
Lead hands-on solution architecture and technical implementation of AI initiatives
Design and develop enterprise-grade AI/ML and Generative AI applications
Collaborate with engineering teams to build scalable APIs, microservices, and AI-enabled platforms
Drive integration of AI solutions with enterprise systems, cloud infrastructure, and data platforms
Ensure scalability, reliability, security, and compliance of AI systems

Fulltime

Technology Lead Business Analyst - AIML AND Data Analytics - Vice President

Technology Lead Business Analyst - AIML AND Data Analytics - Vice President is a...

Location

India , Pune, Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Must to have 10-15 years of experience as Business Analyst with strong experience into AIML and Data Analytics
Experience utilizing AI / Gen AI tools & technologies to solve complex business problems. Exposure to Gen‑AI concepts including: Large Language Models (LLMs) and transformer‑based systems, Prompt engineering and basic agent workflows, Vector search and retrieval concepts
Familiarity with Gen‑AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)
Experience integrating Gen‑AI APIs (OpenAI, Gemini, Claude, etc.) into production applications
Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
Strong experience in SaaS Technology and Business Intelligence & Data Analytics
Hands on experience working with business intelligence & data visualization tools such as Tableau and / or MicroStrategy
Hands on experience writing SQL experience in Oracle RDBMS
Experience with data governance & data quality
Experience implementing data integration solutions with latest technology

Job Responsibility

Develop creative technical solutions to meet business needs and manage complex, high volume applications in partnership with business partners and stakeholders
Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
Contribute to formulation of strategies/processes for Product Road map, Development and Governance and contribute to defining standards and new automation initiatives
Consult with business clients to determine system functional specifications and partner with multiple management teams and other units to meet organizational objectives
Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards
Develop communication to guide, influence and convince others, including colleagues in other areas and external customers
Provide advice and counsel related to the technology or operations of the business and filter, prioritize and validate potentially complex material from multiple sources
Supervise day-to-day staff management issues, including resource management, work allocation, mentoring of onsite and offsite resources and other duties and functions as assigned
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Ai & Software Engineer Iii

The AI & Software Engineer III plays a critical role in designing, building, and...

Location

United States , Dallas, TX, Boston, MA

Salary:

Not provided

PMG

Expiration Date

Until further notice

Requirements

5+ years of experience in software or data engineering, with strong coding skills in Python or a similar language
Demonstrated experience designing, implementing, and maintaining data pipelines (ETL/ELT)
Proficiency with SQL and data modeling for analytics and warehousing
Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, or similar)
Familiarity with cloud services (AWS preferred, including S3, Lambda, ECS, EC2, etc.)
Experience with dbt or equivalent data transformation frameworks
Strong problem-solving skills, attention to detail, and ownership mindset
Experience with workflow orchestration tools such as dbt Cloud or Airflow
Experience scaling production data ingestion systems
Exposure to DevOps and CI/CD practices for data or application deployments

Job Responsibility

Design, build, and maintain scalable data ingestion systems connecting multiple internal and external data sources
Develop and manage data workflows across cloud-based platforms such as AWS S3 and Snowflake
Implement robust ELT pipelines using modern tools and frameworks (e.g. dbt, Snowflake etc)
Ensure data quality, integrity, and consistency across systems, implementing validation and monitoring mechanisms
Collaborate on infrastructure-as-code deployments and CI/CD for data systems
Contribute to the design and implementation of APIs and internal services that support PMG’s broader product ecosystem
Write clean, efficient, and testable code in modern languages (with a focus on Python)
Apply software engineering best practices — including version control, testing, observability, and deployment automation
Participate in code reviews and architectural discussions, surfacing potential risks or improvements
Integrate AI and automation techniques into engineering workflows where applicable, improving efficiency and insight generation

What we offer

Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support
Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones
Parental Leave: We provide paid parental leave to support your family during important life events
Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching
Fertility and Family Support: Access fertility benefits for all team members and their spouses
Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography
Pet Insurance: Protect your pet's health and your finances
Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being
Commuter Benefits: Access support for travel and commuting needs, where available
Annual Bonus: All employees are eligible for an annual bonus

Pre-Sales Solutions Architect - Artificial Intelligence

This strategic technical role bridges the gap between our sales team and our AI ...

Location

United States , New Jersey; Massachusetts; Chicago

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML engineering, cloud architecture, technical consulting, or related fields, with a background that demonstrates hands-on delivery and technical depth
Experience in technical pre-sales, solution architecture, or client-facing advisory roles is preferred but not mandatory
Solid understanding of enterprise AI solution design — including AI platform selection, cloud-based infrastructure, and GenAI/agentic application patterns
Hands-on familiarity with Snowflake, Databricks, and at least one hyperscaler AI platform is required: Azure AI Foundry, AWS SageMaker, or GCP Vertex AI
Broader hyperscaler exposure (Azure, AWS, GCP) is strongly preferred
Demonstrated ability to build trust and engage confidently with both technical teams and C-level executives
Working knowledge of LLMs, Generative AI applications, and agentic AI patterns in enterprise contexts
Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field

Job Responsibility

Partner with clients and internal account teams to uncover AI priorities, business challenges, and strategic goals
Design and present enterprise AI solution architectures tailored to client needs
Own the technical workstream of the AI sales cycle from initial discovery through to close
Develop a strong command of SDG’s AI portfolio and apply that knowledge to identify expansion opportunities
Stay current with the fast-moving AI and GenAI landscape
Represent SDG at AI industry events, hyperscaler partner conferences, and client briefings

What we offer

Full-time employment in a growing high-tech industry with a meritocratic culture
Competitive base salary, commission structure, and a 401(k) retirement plan with an employer match
Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage
3+ weeks of paid vacation, a flexible holiday schedule, and a results-oriented culture
A hybrid work model anchored to our U.S. offices, with periodic travel and on-site client engagement expected
A welcoming, collaborative, and inclusive culture

Fulltime

Junior Generative AI Application Developer

Engineer the future of global finance. At Citi, our Tech team doesn't just suppo...

Location

United States , Tampa

Salary:

76560.00 - 106840.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in a technology-related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience
Authorized to work in the United States without the need for employer sponsorship, now OR in the future
A proactive problem-solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions
Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development
Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts
Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued
Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable, especially in a fast-paced environment delivering AI solutions

Job Responsibility

Thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools
Translating business requirements into robust code, ensuring adherence to stringent quality standards and providing essential support through testing cycles and post-production deployment
Utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews
Contribute to the adoption and deployment of cutting-edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference
Adhere to and implement Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents
Explore and apply the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes
Gain exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI-specific testing frameworks, and container orchestration platforms like OpenShift
Work with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real-time data ingestion for Gen AI model training, fine-tuning, and inference
Gain hands-on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices

What we offer

medical
dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , North Bethesda

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

annual bonus
401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

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Business Intelligence Engineer (AWS / AI Exposure)

Job Description

Job Responsibility

Requirements

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