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

Artificial Intelligence (AI) Engineer

We are looking for an Artificial Intelligence (AI) Engineer to create and expand...

Location

United States , Atlanta

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Extensive experience developing software solutions with Python
Node.js experience is also valuable
Hands-on knowledge of large language model APIs and practical implementation of AI-powered application features
Familiarity with frameworks and tooling used for LLM orchestration, such as LangChain, LlamaIndex, or similar technologies
Experience working with vector databases, retrieval systems, and context-aware AI architectures
Understanding of the end-to-end AI and machine learning lifecycle, including development, deployment, monitoring, and maintenance
Background building solutions in cloud environments such as AWS, Azure, or comparable platforms
Solid backend engineering skills, including API development, system integration, and production troubleshooting
Exposure to computer vision, detection models, TensorFlow, ChatGPT, GPT, or related AI technologies is strongly preferred

Job Responsibility

Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use
Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs
Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources
Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions
Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance
Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments
Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs
Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform
Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required

What we offer

Medical
vision
dental
life and disability insurance
401(k) or deferred compensation plan (if eligible)
Choice Time Off (CTO)
paid holidays

Senior Full Stack AWS Engineer

The Technology organization of Alight Solutions is responsible for the life cycl...

Location

United States , Virtual

Salary:

130000.00 - 165000.00 USD / Year

Alight Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, cloud architecture, or full-stack application development
Deep hands-on experience with AWS (e.g., Bedrock, Lambda, Step Functions, Redshift, Glue, ECS/EKS, IAM, S3, API Gateway, RDS, CloudFormation, EC2, Fargate, CloudWatch)
Proficiency in Python, Java, TypeScript/Node.js, or similar languages for serverless and full-stack development
Strong grasp of context engineering, prompt orchestration, and LLM application design
Proven success leading cross-functional engineering teams and innovating at the intersection of technology and business
Commitment to accessibility and inclusive design principles
Experience integrating agent-based architectures and retrieval-augmented generation (RAG) on AWS
Understanding of application-level security, compliance, and cost optimization best practices in the cloud
Experience with internal developer platforms, CI/CD pipelines, and observability frameworks
Prior contributions to AI/ML product teams or open-source cloud frameworks

Job Responsibility

Architect and implement serverless, event-driven, and containerized cloud applications using AWS services (e.g., Lambda, API Gateway, DynamoDB, Step Functions, S3, ECS/EKS)
Build robust, secure, and high-performance cloud-native solutions, leveraging both front-end (Angular, TypeScript) and back-end (Node.js, Java, RESTful APIs) technologies
Lead the design and integration of Generative AI workflows leveraging Amazon Bedrock, RAG pipelines, and knowledge-base-driven context engineering for intelligent, reliable, and extensible AI solutions
Develop and maintain internal frameworks, reusable modules, and developer platforms to enhance developer experience, maintainability, and cloud efficiency
Implement multi-tier architectures and RESTful microservices, integrating with upstream and downstream systems
Manage databases with Amazon RDS (MySQL/PostgreSQL), DynamoDB, and Aurora, including both SQL and NoSQL modeling
Design and maintain CI/CD pipelines and apply Infrastructure as Code (IaC) practices using Terraform and CloudFormation
Employ testing frameworks and backend testing tools to ensure code quality and reliability
Collaborate cross-functionally with product, design, and data science teams to bridge business goals with scalable cloud solutions
Champion accessibility-first design and inclusive engineering practices across products and internal tooling

What we offer

health, dental and vision coverages starting Day One
wellbeing programs
retirement plans with contribution matching
generous time off
parental leave
continuing education
career growth opportunities
flexible working arrangements

Fulltime

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

Senior Full Stack AWS Engineer

The Technology organization of Alight Solutions is responsible for the life cycl...

Location

United States of America , Virtual

Salary:

130000.00 - 170000.00 USD / Year

Alight Solutions

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, cloud architecture, or full-stack application development
Deep hands-on experience with AWS (e.g., Bedrock, Lambda, Step Functions, Redshift, Glue, ECS/EKS, IAM, S3, API Gateway, RDS, CloudFormation, EC2, Fargate, CloudWatch)
Proficiency in Python, Java, TypeScript/Node.js, or similar languages for serverless and full-stack development
Strong grasp of context engineering, prompt orchestration, and LLM application design
Proven success leading cross-functional engineering teams and innovating at the intersection of technology and business
Commitment to accessibility and inclusive design principles
Experience integrating agent-based architectures and retrieval-augmented generation (RAG) on AWS
Understanding of application-level security, compliance, and cost optimization best practices in the cloud
Experience with internal developer platforms, CI/CD pipelines, and observability frameworks
Prior contributions to AI/ML product teams or open-source cloud frameworks

Job Responsibility

Architect and implement serverless, event-driven, and containerized cloud applications using AWS services (e.g., Lambda, API Gateway, DynamoDB, Step Functions, S3, ECS/EKS)
Build robust, secure, and high-performance cloud-native solutions, leveraging both front-end (Angular, TypeScript) and back-end (Node.js, Java, RESTful APIs) technologies
Lead the design and integration of Generative AI workflows leveraging Amazon Bedrock, RAG pipelines, and knowledge-base-driven context engineering for intelligent, reliable, and extensible AI solutions
Develop and maintain internal frameworks, reusable modules, and developer platforms to enhance developer experience, maintainability, and cloud efficiency
Implement multi-tier architectures and RESTful microservices, integrating with upstream and downstream systems
Manage databases with Amazon RDS (MySQL/PostgreSQL), DynamoDB, and Aurora, including both SQL and NoSQL modeling
Design and maintain CI/CD pipelines and apply Infrastructure as Code (IaC) practices using Terraform and CloudFormation
Employ testing frameworks and backend testing tools to ensure code quality and reliability
Collaborate cross-functionally with product, design, and data science teams to bridge business goals with scalable cloud solutions
Champion accessibility-first design and inclusive engineering practices across products and internal tooling

What we offer

A variety of health coverage options
wellbeing and support programs
retirement
vacation and sick leave
maternity, paternity & adoption leave
continuing education and training
several voluntary benefit options

Fulltime

Ai Analytics Engineer

We are seeking an experienced Analytics Engineer with strong Qlik expertise to d...

Location

United States , Philadelphia

Salary:

65.00 - 80.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Bachelor's degree
5+ years of experience in data analytics, business intelligence, or analytics engineering roles
Strong hands-on experience with Qlik Sense and/or QlikView development
Experience with data modeling, ETL processes, and SQL-based data environments
Understanding of data quality, data governance, and enterprise data practices
Experience working in data integration and enterprise data environments
Familiarity with cloud platforms, preferably AWS
Experience with scripting or programming languages such as Python or PowerShell
Exposure to AI/ML concepts, augmented analytics, or predictive modeling
Experience building or supporting semantic or metrics layers

Job Responsibility

Design and deliver next-generation, AI-driven analytics solutions
Build intelligent, contextual, and conversational analytics experiences
Partner with business and data teams to transform requirements into scalable dashboards, semantic data models, and predictive insights

Ai Software Engineer

We are looking for an AI Software Engineer to help design, build, and deploy AI-...

Location

United States , Laconia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
Strong software engineering fundamentals and experience deploying models to production
Interest or background in manufacturing, industrial systems, or operational data
Proven experience building and delivering production-grade solutions in software engineering, machine learning engineering, or AI engineering role
Strong knowledge of machine learning methods and applied artificial intelligence techniques
Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or scikit-learn
Hands-on background developing data pipelines, APIs, and application services that support AI solutions
Experience working with cloud-based platforms such as AWS, Azure, or similar environments
Ability to work with incomplete, noisy, or highly variable operational datasets from real-world environments
Strong communication skills with ability to explain technical ideas clearly to business and operational teams

Job Responsibility

Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)
Work with sensor, production, and ERP data to build actionable insights
Collaborate with cross‑functional teams to move ideas from concept to production

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

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

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Business Intelligence Engineer (AWS / AI Exposure)

Job Description

Job Responsibility

Requirements

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