AI Solutions Lead Job at Datatonic (Zagreb)

Director - Healthcare & Generative AI Solutions Lead

We are looking for an executive-level leader based in India who deeply understan...

Location

India , Ahmedabad

Salary:

Not provided

Dash Technologies

Expiration Date

Until further notice

Requirements

10–15 years of experience in IT services / IT consulting
Minimum 5–7 years focused on the US healthcare market (providers, payers, MedTech/HealthTech)
Hands-on experience with Generative AI in a business / product / solution context is essential
Strong background in at least one of: Healthcare digital transformation, clinical workflows, RCM, patient engagement, care management, or healthcare analytics
Proven track record building or productizing solutions/accelerators in an IT services environment
Comfortable interacting with CXO/VP-level stakeholders in US healthcare organizations and explaining AI concepts in simple business language
Understanding of US healthcare regulations and standards (HIPAA, PHI handling)
Experience working with distributed/global teams with some overlap to US time zones
Excellent English communication – written, verbal, and presentation

Job Responsibility

Analyze the US healthcare market and identify high-value problems within healthcare customer segments
Design and build AI-powered solution accelerators (LLM-based tools, workflows, reference architectures, PoCs)
Conduct deep research on the US healthcare ecosystem with a lens on where AI can create value
Analyze trends in healthcare + AI
Map and prioritize opportunities based on revenue potential, feasibility, and alignment with our capabilities
Run structured discovery with customers/prospects and internal stakeholders
Identify concrete generative AI use cases in healthcare
Work with technical/AI teams to design and build accelerators
Define the architecture at a high level and ensure alignment with compliance standards
Ensure accelerators are repeatable, configurable, and implementable across multiple clients

Fulltime

Lead AI Engineer - GenAI & RAG Solutions

As a Lead AI Engineer within our Data & AI practice, you will play a key role in...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

At least 3 years of experience in AI/ML projects, with at least 1 year in LLMs and generative AI
Experience with RAG architectures, vector search (e.g., Azure Cognitive Search, FAISS), embedding pipelines
Proficient in Python and familiar with prompt engineering, langchain, or similar frameworks
Experience with Azure OpenAI, Azure Functions, Azure Blob Storage
Understands challenges around data security, governance, and access in AI solutions (e.g., healthcare and public sector)
Fluent in Dutch, comfortable working in a bilingual context

Job Responsibility

Architect and implement RAG solutions in Azure (OpenAI, Cognitive Search, Blob Storage, Azure Functions, etc.)
Conduct intake workshops and translate business needs into AI solutions
Provide technical leadership within multidisciplinary project teams
Support MVP development around GPT, Copilot extensions, and embedded LLM solutions
Shape the AI roadmap for our clients

What we offer

Make a Difference with a Meaningful Career
Grow and Evolve Professionally
Unlock Relevant Career Opportunities
Achieve Work-Life Balance
Enjoy Generous Annual Leave
Travel in Comfort
Comprehensive Insurance Coverage
Attractive Compensation Package

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

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

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

equity in the form of employee stock options

Fulltime

Private Cloud AI Solution Architect

The Private Cloud AI Solution Architect is responsible for architecting solution...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Comprehensive knowledge of Generative AI (GenAI) and the ability to demonstrate, design, and architect solutions
Overall solutioning responsibility for HPE Private Cloud AI solutions that allow the customer to accommodate existing architectures providing a managed-service model data privacy, governance and compliance in order to achieve workloads like inference to achieve predictable operating costs
A track record of delivering AI, private cloud, or enterprise IT solutions with measurable success
Familiarity with NVIDIA-based solutions and HPE’s AI technologies is highly desirable
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return
Advanced understanding of aaS business model variations
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals

Job Responsibility

Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support
Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Solutions Specialist

The AI Solutions Specialist is a key technical leader within Sabio’s Pre-sales f...

Location

United Kingdom , London

Salary:

Not provided

Sabio Group

Expiration Date

Until further notice

Requirements

Expert-level knowledge of Conversational AI, Generative AI, Agentic AI, and automation frameworks
Deep understanding of CCaaS/contact centre operations and digital CX transformation
Awareness of security, compliance, and integration considerations in enterprise deployments
Commercial and financial awareness, including ROI modelling and TCO analysis
Strong understanding of competitive landscape in AI/CX
Proven ability to translate complex architectures and organisational challenges into clear, measurable business outcomes
Confidence engaging with senior stakeholders, including C-level executives
Strong influencing and negotiation skills within competitive sales cycles
Ability to balance technical depth with commercial positioning
Leadership skills to guide junior team members, drive AI enablement through their immediate Specialist team, and collaborate across functions

Job Responsibility

Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs
Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security
Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility
Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage
Act as an AI authority during sales cycles, influencing deal strategy and client positioning
Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions
Provide customer and market insights to inform Sabio’s product and proposition roadmap
Mentor junior and associate colleagues, building capability across the Presales team

What we offer

Pension Scheme
Remote/Flexible work
Life insurance
Private health and dental care
Cycle to work
28 days paid holiday a year (this includes three Sabio days)
LinkedIn Learning

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

Gen AI Tech Lead

We are seeking a dynamic and innovative Gen AI Lead to spearhead the development...

Location

United States , Atlanta, Georgia; Tampa, Florida

Salary:

158400.00 - 237600.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Large Language Models (LLMs) & Fine-Tuning: Deep knowledge of LLMs and advanced fine-tuning techniques
Model Optimization: Expertise in model compression and quantization methods
Prompt Engineering: Adept at prompt engineering
Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques
Machine Learning Frameworks and Cloud Computing: Proficiency in TensorFlow, PyTorch, and high-level APIs like Keras
Natural Language Processing (NLP) and AI Deployment: Advanced NLP skills
Data Science, Engineering, and API Development: Strong proficiency in data preprocessing
Generative AI Tools & Platforms: Experienced with cutting-edge generative AI tools
AI Compliance & Guardrails: Knowledge of AI compliance frameworks
Team Leadership: Proven ability to build, lead, and develop high-performing AI teams

Job Responsibility

Lead Generative AI Strategy: Define and implement a comprehensive AI strategy
Build & Lead a High-Performing Team: Hire, mentor, and manage a team of AI specialists
Drive AI Innovation: Collaborate with internal stakeholders to identify business challenges
AI System Development: Oversee the design, development, and deployment of AI models
Cross-functional Collaboration: Work closely with the Data Mesh, Cloud Architecture, and broader tech teams
Stay Current on AI Trends: Continuously monitor the latest AI trends
Ensure Ethical AI Use: Ensure all AI initiatives comply with data privacy

What we offer

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

Fulltime

Senior Manager, AI Solutions and Integrations Engineering

Join the Corporate Engineering team as the Sr. Manager, AI Solutions, where you'...

Location

United States , Denver; San Francisco

Salary:

163000.00 - 227000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Proven experience in leading and managing teams, with a focus on AI/ML projects
Strong ability to engage and align with executive stakeholders, driving strategic initiatives
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
5+ years of professional experience in engineering roles focused on productivity or data-centric solutions
Robust programming skills in Python and experience with AI frameworks and technologies such as TensorFlow, PyTorch, and containerizing solutions with tools like Docker and Kubernetes within cloud environments like AWS and Azure
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
A deep interest in leveraging AI to transform internal processes and enhance employee productivity.

Job Responsibility

Lead and mentor a team of AI Solutions Engineers, fostering a culture of innovation and continuous improvement
Engage with executive stakeholders to align AI initiatives with organizational goals, ensuring strategic alignment and impactful outcomes
Collaborate with internal stakeholders across various departments to gather requirements, understand workflows, and propose AI-driven improvements
Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
Work with cross-functional teams to integrate AI technologies into existing systems and workflows
Gather feedback on AI solutions, refining them based on user needs and business objectives
Conduct training sessions and workshops to help internal teams understand and adopt AI solutions
Stay up to date on the latest AI advancements and share relevant findings with the team to help inform solution design
Present findings, progress updates, and future proposals to internal stakeholders, from team members to executive leadership.

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity 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
In-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

Fulltime

AI Solutions Lead

Datatonic

Location:
Croatia , Zagreb

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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