CrawlJobs Logo

AI Solutions Engineer

nttdata.com Logo

NTT DATA

Location Icon

Location:
United States , Dallas

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

79920.00 - 166500.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

The AI Solutions Engineer role involves deploying and configuring the NTT Data AMS AI Platform in customer environments. You will work directly with customer engineering teams to install the platform, integrate it into existing DevOps workflows, ingest and analyze codebases, and ensure the solution delivers real, measurable value.

Job Responsibility:

  • Deploy and configure the NTT Data AMS AI Platform within customer cloud environments
  • Install, validate, and operate platform components using modern DevOps practices (Kubernetes, Helm, Git-based deployments)
  • Validate network connectivity, security configurations, logging, and monitoring
  • Manage versioned deployments, upgrades, and rollback procedures using Git-driven release workflows
  • Test end-to-end platform functionality using representative repositories and workloads
  • Operate and maintain monitoring, logging, and alerting to ensure platform health post-deployment
  • Review customer codebases (language-agnostic) to assess structure, dependencies, and readiness for AI-driven analysis
  • Guide teams on repository hygiene, modularization, access controls, and branching strategies
  • Integrate the platform into customer CI/CD pipelines and release governance models
  • Troubleshoot ingestion, analysis, and runtime issues across code, infrastructure, and integrations
  • Lead technical discovery sessions to understand customer architecture, development workflows, and constraints
  • Translate business and engineering goals into practical platform configurations and deployment patterns
  • Provide architectural guidance and clearly communicate trade-offs when preparing systems for AI-driven workflows
  • Identify risks early (security, scale, complexity) and adjust implementation approach accordingly
  • Work directly with customer engineers to drive adoption and unblock progress
  • Partner with Product, Support, and Engineering to surface platform gaps, edge cases, and improvement opportunities
  • Document configurations, patterns, and lessons learned to improve future deployments
  • Serve as the technical point of continuity across installation, enablement, and early production usage

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
  • 2+ years of experience in a technical implementation or solutions engineering role, preferably with a SaaS product
  • 2+ years of experience with Azure, OpenAI, and other cloud and LLM providers
  • 7+ years strong in software development lifecycle (SDLC) practices and common source control workflows (e.g. Git branching strategies, pull requests, release versioning)
  • 2+ years Machine Learning and Deep Learning Expertise
  • 5+ years of strong understanding of software integration principles and APIs
  • 5+ years Programming proficiency in Python, R, and Java
  • Ability to travel to client sites as needed

Nice to have:

  • Ability to provide architectural guidance and communicate trade-offs when preparing code for analysis workflows
  • Comfortable reading code at a structural level, with proficiency in at least one code language
  • Excellent problem-solving and analytical skills
  • Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences
  • Proven ability to manage multiple projects simultaneously and prioritize effectively

Additional Information:

Job Posted:
January 24, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
NTT DATA - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI Solutions Engineer

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...
Location
Location
United States , Raleigh
Salary
Salary:
125000.00 - 175000.00 USD / Year
arize.com Logo
Arize
Expiration Date
Until further notice
Flip Icon
Requirements
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
Job Responsibility
  • Work closely with some of the most sophisticated ML / GenAI teams in the world
  • 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
What we offer
  • competitive equity package
  • comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
  • WFH monthly stipend to pay for co-working spaces
  • Fulltime
Read More
Arrow Right

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...
Location
Location
United States , Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions
  • Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
  • Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
  • Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Job Responsibility
Job Responsibility
  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
  • Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
  • Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
  • Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
  • Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
  • Annual travel up to 25%
What we offer
What we offer
  • equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

To design and deliver compelling AI-powered experiences for customers — includin...
Location
Location
South Africa , Cape Town
Salary
Salary:
Not provided
sabiogroup.com Logo
Sabio Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong proficiency in Python and hands-on experience with generative AI tools and frameworks
  • Experience in designing customer-centric AI experiences, including conversational interfaces and intelligent automation
  • Proven ability to develop business cases and ROI models for AI initiatives
  • Skilled in cross-functional collaboration, especially with sales and product teams
  • Excellent data storytelling skills, with the ability to communicate complex insights clearly and persuasively
  • Awareness of ethical AI practices and a commitment to responsible innovation
Job Responsibility
Job Responsibility
  • Build and present engaging AI demos and prototypes that showcase the value of generative AI in customer experience
  • Collaborate with sales and product teams to co-create tailored AI solutions aligned with client needs and strategic goals
  • Use internal tooling and frameworks to rapidly develop proof-of-concepts that accelerate customer decision-making
  • Support business development efforts by contributing to ROI modelling and business case creation
  • Translate data insights into compelling stories that resonate with both technical and non-technical stakeholders
  • Ensure ethical AI principles are embedded in all customer-facing solutions and engagements
  • Stay current with emerging generative AI technologies and contribute to internal capability building
What we offer
What we offer
  • Remote/Flexible work
  • Discovery Medical Aid
  • Connectivity Allowance
  • 15 days paid holiday a year- (this includes three Sabio days)
  • Momentum EAP
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

To design and deliver compelling AI-powered experiences for customers — includin...
Location
Location
South Africa , Cape Town
Salary
Salary:
Not provided
sabiogroup.com Logo
Sabio Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong proficiency in Python and hands-on experience with generative AI tools and frameworks
  • Experience in designing customer-centric AI experiences, including conversational interfaces and intelligent automation
  • Proven ability to develop business cases and ROI models for AI initiatives
  • Skilled in cross-functional collaboration, especially with sales and product teams
  • Excellent data storytelling skills, with the ability to communicate complex insights clearly and persuasively
  • Awareness of ethical AI practices and a commitment to responsible innovation
Job Responsibility
Job Responsibility
  • Build and present engaging AI demos and prototypes that showcase the value of generative AI in customer experience
  • Collaborate with sales and product teams to co-create tailored AI solutions aligned with client needs and strategic goals
  • Use internal tooling and frameworks to rapidly develop proof-of-concepts that accelerate customer decision-making
  • Support business development efforts by contributing to ROI modelling and business case creation
  • Translate data insights into compelling stories that resonate with both technical and non-technical stakeholders
  • Ensure ethical AI principles are embedded in all customer-facing solutions and engagements
  • Stay current with emerging generative AI technologies and contribute to internal capability building
What we offer
What we offer
  • Remote/Flexible work
  • Discovery Medical Aid
  • Connectivity Allowance
  • 15 days paid holiday a year- (this includes three Sabio days)
  • Momentum EAP
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...
Location
Location
United States
Salary
Salary:
125000.00 - 175000.00 USD / Year
arize.com Logo
Arize
Expiration Date
Until further notice
Flip Icon
Requirements
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
Job Responsibility
  • Work closely with some of the most sophisticated ML / GenAI teams in the world
  • 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
What we offer
  • competitive equity package
  • comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
  • WFH monthly stipend to pay for co-working spaces
  • Fulltime
Read More
Arrow Right

Ai Solution Engineer

This role exists to bring AI-powered automation into real-world use across our c...
Location
Location
Canada , Mississauga
Salary
Salary:
139500.00 - 150000.00 CAD / Year
pointclickcare.com Logo
PointClickCare
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience
  • Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist
  • 2–5 years of experience in software or cloud engineering
  • Exposure to AI agent orchestration or multi-agent systems
  • Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services)
  • Familiarity with retrieval-augmented generation (RAG) or vector database integration
  • Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation
  • Proficient in Python, C#, or JavaScript/Type Script
  • 3-5 years' experience working in SaaS or enterprise environments
  • Familiar with CI/CD pipelines, Git, and cloud deployment practices
Job Responsibility
Job Responsibility
  • Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, and Copilot Studio
  • Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration
  • Collaborate with cross-functional teams (integration, implementation, product, support) to deliver high-quality, scalable AI-driven solutions
  • Develop APIs, scripts, and tools to connect LLM-based agents with existing enterprise systems
  • Support testing, deployment, monitoring, and continuous improvement of AI workflows in production
  • Stay current with Microsoft’s AI platform roadmap and emerging industry trends
  • Contribute to the evolution of our internal AI delivery model and promote AI best practices across teams
What we offer
What we offer
  • Benefits starting from Day 1
  • Retirement Plan Matching
  • Flexible Paid Time Off
  • Wellness Support Programs and Resources
  • Parental & Caregiver Leaves
  • Fertility & Adoption Support
  • Continuous Development Support Program
  • Employee Assistance Program
  • Allyship and Inclusion Communities
  • Employee Recognition
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

Join the IT Engineering team as an AI Solutions Engineer, where you'll play a vi...
Location
Location
United States , Denver; San Francisco
Salary
Salary:
129000.00 - 179000.00 USD / Year
https://checkr.com Logo
Checkr
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
  • 5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity
  • 3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques
  • Strong programming skills in languages such as Python
  • experience with AI frameworks like TensorFlow, PyTorch, or similar tools
  • Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
  • Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
  • Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require
  • A deep interest in leveraging AI to transform internal processes and enhance employee productivity
Job Responsibility
Job Responsibility
  • Engage with Internal Teams: Collaborate with internal stakeholders across various departments to understand their workflows, identify pain points, and uncover opportunities where AI can enhance productivity and efficiency
  • Develop AI Solutions: Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
  • Cross-Functional Collaboration: Work closely with Engineers, Product Designers, and other AI Solutions Engineers to integrate AI technologies into existing systems and workflows
  • Iterate and Improve: Collect feedback from internal users to iterate on AI solutions, ensuring they continue to meet evolving needs and drive concrete impact within the organization
  • Training and Enablement: Lead training sessions and workshops to empower internal teams with the knowledge and tools to effectively utilize AI solutions
  • Strategic Planning: Contribute to the shaping of AI strategies and roadmaps aligned with organizational goals, ensuring that AI initiatives deliver maximum value
  • Stay Current with AI Trends: Continuously research and stay informed about the latest advancements in AI to incorporate relevant innovations into internal solutions
  • Communicate Insights: Present findings, progress updates, and future proposals to internal stakeholders, ranging from team members to executive leadership
What we offer
What we offer
  • A fast-paced and collaborative environment
  • Learning and development allowance
  • Competitive compensation and opportunity for advancement
  • 100% medical, dental, and vision coverage
  • Up to $25K reimbursement for fertility, adoption, and parental planning services
  • Flexible PTO policy
  • Monthly wellness stipend, home office stipend
  • Fulltime
Read More
Arrow Right

AI Solution Engineer

As an AI Solution Engineer your role will be to architect, build, and deliver AI...
Location
Location
United States
Salary
Salary:
130500.00 - 300000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's, Master's or other Advanced degree in Engineering, Computer Science, or similar quantitative focus
  • 4 years + experience working with Machine Learning or Deep Learning
  • Experience working with Kubernetes
  • Competency working with the latest LLM frameworks, both Open Source (e.g. LangChain, LllamaIndex) and proprietary (e.g. NVIDIA NeMo/NIM)
  • Competency writing ML code (for example, using PyTorch)
  • Experience with Python, Unix-like systems
  • Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
  • Understanding of hardware requirements associated with deep learning model training or inference, and how model attributes and performance factors affect it
  • Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities
  • Experience working with on-premise hardware / GPU clusters
Job Responsibility
Job Responsibility
  • Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI
  • Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes
  • Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings, likely in combination with 3rd Party and Open Source components
  • Assist in any product or technical issue towards an initial sale or renewal of a customer
  • Help enable prospects, partners, and internal HPE teams on HPE's value in the AI landscape and how HPE and partner solutions can help solve real world business problems
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy