Ai Consultant Engineer Job at NTT DATA

Data & AI Impact Consultant Engineer

Data Consultant role in Data & AI Business Unit, designing and building modern d...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering or analytics projects
Good knowledge of Dutch and English (French is an asset)
Familiarity with Azure stack (Data Factory, Synapse, Storage, Purview, Functions) and/or Databricks
Structural and flexible thinking
Interest in AI and its role in modern data products (prompt engineering, GenAI, monitoring, automation)
Ability to create business impact and understand outcomes
Team-oriented mindset

Job Responsibility

Design and build modern data platforms (Azure, Databricks, Data Fabric) with focus on reusability and AI-readiness
Deliver value today while preparing for tomorrow
Help colleagues grow through coaching, feedback, or knowledge sharing
Provide consultancy with solution-oriented approach
Take initiative beyond projects to help build Inetum

What we offer

Company car
Fuel/charging card
Group insurance
Hospitalization coverage
32 days of annual leave
Hybrid working options
Satellite offices
Training and certification programs

Fulltime

Data & AI Impact Consultant Engineer

As a Data Consultant, you are a cornerstone of our Data & AI Business Unit – tec...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering or analytics projects
Good knowledge of Dutch and English (French is an asset)
Familiar with Azure stack (Data Factory, Synapse, Storage, Purview, Functions) and/or Databricks
Structural and flexible thinking
Interest in AI and its role in modern data products (prompt engineering, GenAI, monitoring, automation)
Ability to create business impact and understand outcomes
Team-oriented mindset

Job Responsibility

Design and build modern data platforms (Azure, Databricks, Data Fabric) with focus on reusability and AI-readiness
Deliver customer- and future-oriented value
Help colleagues grow through coaching, feedback, or knowledge sharing
Provide consultancy with solution-oriented approach
Take initiative in client development, talent growth, or community engagement

What we offer

Company car
Fuel/charging card
Group insurance
Hospitalization coverage
32 days of annual leave
Hybrid working options
Satellite offices
Continuous learning & development
Training and certification programs

Fulltime

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Consulting AI / Data Engineer

As a Consulting AI / Data Engineer, you will design, build, and optimise enterpr...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Hands-on data engineering experience in production environments
Strong proficiency in Python and SQL
Experience with at least one additional language (e.g. Java, Typescript/Javascript)
Experience with modern frameworks such as Apache Spark, Airflow, dbt, Kafka, or Flink
Background in building ML pipelines, MLOps practices, or feature stores is highly valued
Proven expertise in relational databases, data modelling, and query optimisation
Demonstrated ability to solve complex technical problems independently
Excellent communication skills with ability to engage clients and stakeholders
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Build and maintain scalable data pipelines for ingesting, transforming, and delivering data
Manage and optimise databases, warehouses, and cloud storage solutions
Implement data quality frameworks and testing processes to ensure reliable systems
Design and deliver cloud-based solutions (AWS, Azure, or GCP)
Take technical ownership of project components and lead small development teams
Engage directly with clients, translating business requirements into technical solutions
Champion best practices including version control, CI/CD, and infrastructure as code

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, remote working, additional purchased leave, and company-provided laptop
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with mentoring from senior engineers
Exposure to diverse industries and client environments

Fulltime

AI Engineer

Join Inference Group, a team of passionate innovators devoted to empowering busi...

Location

Salary:

Not provided

Inference Group

Expiration Date

Until further notice

Requirements

Skilled in AI engineering
Experience in creating, programming, and training complex networks of algorithms
Experience in evaluating and comparing algorithm performance based on large, real-world data sets
Experience in designing and implementing Machine Learning algorithms
Experience in undertaking data mining exercises from various sources
Experience in oversight of ongoing AI/ML engineering projects
Experience in creating intelligent AI models utilizing deep learning, neural networks, and ML algorithms
Well-versed in programming, software engineering, and data science fields
Passionate and curious about ongoing development within the AI/ML space
Previous experience delivering engineering projects focused on realising the potential of AI/ML within a consultancy space

Job Responsibility

Broaden engineering capabilities
Create, program, and train complex networks of algorithms to grow AI programmes
Evaluate and compare algorithm performance based on large, real-world data sets
Design and implement Machine Learning algorithms
Undertake various data mining exercises from various sources to gain valuable insights to accelerate existing algorithms and future models
Provide oversight of ongoing AI/ML engineering projects
Play a crucial role in supporting clients' objectives by providing important technical insights into ongoing digital transformation and delivery
Create intelligent AI models which utilise deep learning, neural networks and ML algorithms to gain key business insights and create opportunities for informed decision making and future planning

What we offer

Opportunity to work alongside leading experts in data, AI, and technology
Access to the latest technology
Training and certifications
Commitment to ongoing learning and development

Ai Sales Engineer

You'll work side-by-side with our Account Executives to articulate the Arize val...

Location

United States

Salary:

140000.00 - 200000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Strong Communication Skills: You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly
Ability to simplify complex, technical concepts
A quick and self learner: You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV
You ask the right questions with the customer to uncover nuances in their unique deployments
Ability to work within ambiguity and take action with limited direction
Knowledgeable in Machine Learning: You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each
You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc
5+ years within customer facing role: Pre-sales, technical account management, or consulting experience
Worked with customers within the high enterprise (e.g. Fortune 500, etc)
Proficiency in: Python

Job Responsibility

Build relationships with technical stakeholders
Lead product demonstrations of the Arize platform
Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
Handle technical objections and develop strategies across sales, engineering, and product to unblock them
Write educational and compelling blog posts about ML and MLOps related topics
Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials
Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production

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

AI Strategy Consultant

At its core, the AI Strategy Consultant role centers around driving marketing st...

Location

United States

Salary:

170000.00 - 200000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Ability to travel 10 - 25% required
Experience working with Martech tools/CEMs/CDPs/etc.
Strong discovery and interpersonal skills
Intellectual curiosity, high ambition, and humility
Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy

Job Responsibility

Own all phases of AI Decisioning use case delivery working alongside Hightouch engineers, customer executives, marketers, and IT stakeholders
Run design sessions with customers to decide on and document use case requirements and improvements
Champion delivery & project management excellence through development of process playbooks and best practices
Proactively identify, escalate and mitigate potential project risks
Build relationships with key stakeholders at Hightouch customers
Participate in determining the AI Decisioning product strategy

Fulltime

AI Deployment Engineer

Crescendo is hiring an AI Deployment Engineer to manage technical implementation...

Location

United States

Salary:

Not provided

Crescendo

Expiration Date

Until further notice

Requirements

4-6 years of experience building and deploying conversational AI solutions (voice and chat bots)
4-6 years of experience in a customer-facing implementation or consulting role, preferably in B2B SaaS or enterprise software
Experience integrating AI solutions with support CRMs such as Zendesk, Gorgias, and Kustomer, including configuring workflows, ticketing logic, and data handoffs between systems
Demonstrate strong practical knowledge of web technologies, including HTML, CSS and JavaScript
Excellent communication, presentation, and interpersonal skills, with the ability to influence and persuade C-suite leaders and stakeholders
Demonstrated ability to collaborate with cross-functional teams and stakeholders to achieve shared goals
Excellent project management and organizational skills, with the ability to prioritize and delegate tasks effectively
Strong analytical and problem-solving abilities

Job Responsibility

Collaborate with customers and pre-sales teams to understand requirements through detailed discovery and information gathering
Work with Engineering and Product teams to review the scope, discuss CX design options, identify potential risks and establish timelines
Design, build, and deploy the CX bot
Collaborate with design engineering teams and the Partner to connect the Partner’s knowledge sources to the platform
Develop, test, and implement the models to enhance bot accuracy, performance and stability
Integrate bot with existing systems and platforms to provide seamless user experiences
Facilitate User Acceptance Testing with the Partner to validate the deployment
Oversee the bot's deployment to the production environment, ensuring a smooth launch
Continuously monitor and optimize bot performance, adjusting based on user feedback and analytics
Create operating procedures for support associates and ensure successful completion of their training on support systems and the AI bot

What we offer

Take on challenges that actually move the needle in an industry ready for change
Earn competitive pay while building a career with endless opportunities
Enjoy remote work with the focus and flexibility to do your best work
Grow in an environment that rewards ambition and sharp execution
Thrive in a team environment where collaboration is the foundation of your success

Fulltime

Ai Consultant Engineer

NTT DATA

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 24, 2026

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