Solutions Engineer - AI Enablement Job at Citi (Warsaw)

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

Solutions Engineer - AI Enablement

Senior level position responsible for accomplishing results through solutioning,...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Experience of 5-8 years in AI/ML
Hands-on experience in Python and using ML Libraries (TensorFlow, Scikit-learn, Pytorch) for BigData
Hands-on experience with LLMs and GenAI APIs (Open AI GPT, Bard, etc.)
Experience in applying Machine Learning or NLP models in Real time applications for large datasets
Experience with MLOPs and Model Deployment Pipelines
Experience in using PySpark and big data concepts
Stakeholder management experience
Demonstrated leadership skills
Proven project management skills
Bachelor's/University degree, Master's degree preferred

Job Responsibility

Enhance current toolset with AI/ML capabilities for Big data
Solutioning for the identified use cases
Build quick proof-of-concept to demonstrate identified solutions
Collaboration with larger AI/ML stream across data organization
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations

What we offer

Private Medical Care Program
Life Insurance Program
Pension Plan contribution (PPE Program)
Employee Assistance Program
Paid Parental Leave Program (maternity and paternity leave)
Sport Card
Holidays Allowance
Sport and team recreation activities
Special offers and discounts for employees
Access to an array of learning and development resources

Fulltime

AI Solutions Engineer

Join the IT Engineering team as an AI Solutions Engineer, where you'll play a vi...

Location

United States , Denver; San Francisco

Salary:

129000.00 - 179000.00 USD / Year

Checkr

Expiration Date

Until further notice

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

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

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

AI Solution Engineer

As an AI Solution Engineer your role will be to architect, build, and deliver AI...

Location

United States

Salary:

130500.00 - 300000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Director of Solutions Engineering

We’re looking for a Director of Solutions Engineering to lead and scale our pre-...

Location

United States , Flexible

Salary:

Not provided

Crescendo

Expiration Date

Until further notice

Requirements

10+ years in Solutions Engineering / Sales Engineering
5+ in leadership roles
Proven success building and scaling teams in high-growth SaaS (ideally CX, AI, or infrastructure)
A track record of winning large, strategic deals through technical depth, creativity, and strong executive presence
Ability to operate with agility — from being hands-on in a demo to guiding C-suite strategy sessions
Strong cross-functional instincts: you know how to influence product, marketing, and sales to create leverage
A builder’s mindset: process design, playbook creation, and team development energizes you

Job Responsibility

Build and scale Crescendo’s Solutions Engineering team, setting the bar for technical excellence and customer storytelling
Partner with Sales Leadership to craft winning deal strategies for key accounts and enterprise prospects
Design repeatable demos, frameworks, and proofs-of-concept that showcase Crescendo’s Managed AI + Superhuman differentiation
Design and oversee Solutions Engineer training, career level framework, and professional development
Own department metrics, monthly and quarterly business reviews, and capacity planning in a high-growth environment where every quarter will be bolder than the last
Own the playbooks by which we deliver demos, gather technical requirements, and translate customer feedback into clear product insights that inform roadmap decisions
Collaborate with technical stakeholders and other Sales Enablement stakeholders on translating technical documentation into customer-facing resources
Develop scalable processes and enablement for pre-sales engagements, ensuring consistency across the global team
Build trusted advisor relationships with prospects, executives, and technical stakeholders to drive deal velocity and expansion

What we offer

Competitive compensation, equity, and benefits that reflect the value of top talent

Fulltime

Pre-Sales Solution Engineer

We are seeking a highly skilled Enterprise focused Pre-Sales Solution Engineer t...

Location

Salary:

Not provided

LakeFS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a technical pre-sales or solution engineering role, preferably in the software industry
Excellent verbal and written communication skills, with the ability to deliver technical presentations to both technical and non-technical audiences
Hands-on experience with Kubernetes and containerized environments
Experience leading client workshops, sales enablement sessions, and technical training
Ability to work independently as well as collaboratively across sales, product, and engineering teams
Excellent problem-solving skills and a creative approach to architecting solutions
Experience in technical sales of open source products is preferred
Strong understanding and hands-on experience in the Data & AI ecosystem, including: Data lake and data warehouse technologies (e.g., S3, Delta Lake, Iceberg, Hive, Glue, Snowflake)
Data processing frameworks (e.g., Spark, Databricks, Flink, Trino, Presto)

Job Responsibility

Own the technical win from discovery through demo, architecture design, pilot/POC, security review, and a clean handoff to Customer Success
Design and present tailored demos that showcase branch‑based workflows, reproducible experiments, schema‑safe changes, and instant data rollback
Scope and execute pilots with clear success criteria
create sample repos, notebooks, and automation (Spark/Databricks jobs, Airflow DAGs, CI pipelines) that prove value quickly
Build reference architectures for lakeFS OSS and Cloud across AWS/Azure/GCP
document IAM roles, private networking, scaling, GC/performance tuning, and disaster recovery
Answer deep technical questions as a lakeFS SME
Handle RFPs and security questionnaires
map controls to customer requirements and recommend compliant deployment patterns
Partner with sales to quantify business impact (risk reduction, developer velocity, storage efficiency) and co‑create the ROI/TCO narrative with champions

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

Data Engineer – AI Insights

We are looking for an experienced Data Engineer with AI Insights to design and d...

Location

United States

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

5+ years of Data Engineering experience with exposure to AI/ML workflows
Advanced expertise in Python programming and SQL
Hands-on experience with Snowflake (data warehousing, schema design, performance tuning)
Experience building scalable ETL/ELT pipelines and integrating structured/unstructured data
Familiarity with LLM and RAG workflows, and how data supports these AI applications
Experience with reporting/visualization tools (Tableau)
Strong problem-solving, communication, and cross-functional collaboration skills

Job Responsibility

Develop and optimize ETL/ELT pipelines using Python, SQL, and Snowflake to ensure high-quality data for analytics, AI, and LLM workflows
Build and manage Snowflake data models and warehouses, focusing on performance, scalability, and security
Collaborate with AI/ML teams to prepare datasets for model training, inference, and LLM/RAG-based solutions
Automate data workflows, validation, and monitoring for reliable AI/ML execution
Support RAG pipelines and LLM data integration, enabling AI-driven insights and knowledge retrieval
Partner with business and analytics teams to transform raw data into actionable AI-powered insights
Contribute to dashboarding and reporting using Tableau, Power BI, or equivalent tools

Fulltime

Solutions Engineer - AI Enablement

Citi

Location:
Poland , Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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