AI Solutions Engineer Job at Arize

Ai Solutions Engineer

Improve the end-to-end developer experience of AI development tools. Identify fr...

Location

United States , New York

Salary:

104904.00 - 218550.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

4+ years experience, including recent hands-on use of AI-assisted development tools
4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows)
4 Years of coding in Python and/or TypeScript
comfortable touching shared code and context repositories
Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience)

Job Responsibility

Partner with developers across teams to identify friction points with current AI tools and workflows
Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows)
Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist
Instrument usage and feedback to quantify impact of improvements
Produce guidance, examples, and enablement content to help teams adopt improved patterns
Contribute to knowledge transfer and handover to steady-state teams

Fulltime

Ai Solutions Engineer

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience with AI APIs (OpenAI, Azure AI, etc.)
Strong backend or integration experience
Python or JavaScript

Job Responsibility

Integrate AI models into production applications
Support deployment of AI tools and APIs
Work with engineering and product teams

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

AI Solutions Engineer

A pioneering role in one of the most rapidly evolving disciplines in applied AI,...

Location

Portugal , Porto

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

1-4 years of professional experience as a software engineer, data scientist, data engineer, or AI engineer
Strong programming skills in at least one modern language (Python is a plus, but not required), proficiency with Git, and solid software engineering practices
Hands-on experience building LLM-based systems, including prompt engineering and at least one orchestration framework (e.g., LangChain, LlamaIndex, LangGraph)
Solid understanding of Retrieval-Augmented Generation (RAG) pipelines and their design considerations
Deep understanding of general data science principles, including data quality, lineage, semantics, and governance
Strong awareness of the current AI landscape, including leading LLMs, multimodal models, agentic frameworks, and orchestration tools
Practical experience with knowledge graphs, ontologies, or semantic data models is a plus
Ability to combine technical rigor with practical business sense, turning real-world challenges into well-designed AI workflows
Strong communication skills, with the ability to explain complex AI concepts to non-specialist audiences
Fluency in English

Job Responsibility

Design, implement, and continuously refine AI solutions and products, working across the full lifecycle from prototyping to production deployment
Work closely with central and local data teams to define, create, and maintain the organization’s context layer, optimized for AI use
Apply advanced prompt engineering, context engineering, memory engineering, and harness engineering techniques to maximize the performance and reliability of AI models in production
Translate business requirements and operational challenges into AI-transformed use cases and workflows, identifying where intelligent automation or augmentation can deliver the most value
Stay at the forefront of developments in the AI space, including the latest models, tools, and frameworks, and bring relevant innovations back into the team's practice
Contribute to the design of agentic AI systems and AI orchestration architectures, ensuring they are robust, scalable, and aligned with enterprise governance requirements
Document methodologies, prompt libraries, and context engineering standards to build reusable institutional knowledge

Fulltime

AI Solutions Engineer

You’ll be the trusted technical advisors for our customers, driving business val...

Location

United States , New York

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts.
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world.
You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s.
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions.

What we offer

Medical
dental
vision
401(k) plan
unlimited paid time off
generous parental leave plan
others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA will be responsible for developing and dep...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

Fulltime

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA is responsible for developing and deployin...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

What we offer

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive

Fulltime

AI Solutions Engineer

As an AI Solutions Engineer on the team, you’ll have the opportunity to deploy A...

Location

India , Chennai

Salary:

Not provided

Zuora

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, Machine Learning or a related field
Minimum 2 years of experience
Foundational understanding of AI and machine learning concepts – especially familiarity with large language models (LLMs)
Demonstrated interest or experience in working with AI-powered platforms or APIs
Comfortable with light coding/scripting (Python, JavaScript or similar)
Ability to work with APIs and webhooks to integrate systems
Strong analytical and problem-solving skills
Excellent communication skills and a collaborative approach to working with non-technical stakeholders

Job Responsibility

Deploy AI-Powered Tools: Roll out and fine-tune AI solutions that embed intelligence into everyday workflows
Build & Optimize AI Agents: Use agent builder frameworks to create custom AI agents that help various internal teams
Improve Internal Workflows: Collaborate with cross-functional teams to identify high-impact opportunities for AI automation
Integrate Systems & Data: Connect AI platforms with our internal tools and data sources
Enable & Support Users: Serve as an internal champion for these AI tools
Improvement of Current Systems: Gather metrics on the performance and effectiveness of the current product
New Product Feature Development: Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features
Best Practices and Governance: Establish and document best practices for training, evaluating, and operating machine learning and AI models

What we offer

Competitive compensation, corporate bonus programs, performance rewards, company equity, and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days, and company-wide end-of-year break
6 months of fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

Fulltime

AI Solutions Engineer

Multiverse’s mission is to equip the workforce to win in the AI era. As Staff AI...

Location

United Kingdom , London

Salary:

Not provided

Multiverse

Expiration Date

Until further notice

Requirements

Proven Staff-Level experience: 6-7 years in software engineering, with a strong understanding of Applied AI fundamentals and experience working in cross-functional product teams
Expertise in: System architecture: Proven ability to design, implement, and maintain complex RAG pipelines and solution architectures, ensuring low latency and high relevance in information retrieval
AI Orchestration: Proven experience in developing embeddings, MCPs, and agentic workflows, enabling robust, secure and scalable AI-driven systems
Required engineering skills: Proficient in Python and TypeScript with AWS cloud, with experience building APIs, microservices, and cloud-native applications
Growth mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture

Job Responsibility

Build and maintain autonomous agent-based solutions that generate real impact to our internal teams, enabling them to better serve our customers
Design, architect & deliver AI solutions: Partner with technical and business teams to develop new AI solutions
Own the end-to-end lifecycle: Take responsibility for the journey from design through experimentation, deployment, user adoption, impact measurement and continuous iteration
Mentor and scale expertise: Act as a technical leader, coaching engineers within the team, establishing best practices, and offering technical guidance
Collaborate cross-functionally: Ensure that solutions meet user requirements, deliver impact across the organisation, and remain aligned with other engineering squads

What we offer

Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Fulltime

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