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Senior Technical Consultant; AI & Data

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: intive
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Senior Technical Consultant (AI & Data)
Location: Town of Poland

Join to apply for the Senior Technical Consultant (AI & Data) role at intive

4 days ago Be among the first 25 applicants

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, News Corp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

We’re looking for Senior Technical Consultants (AI & Data) with deep expertise in the following domains:
Data Engineering, AI Solution Architecture, and Machine Learning & Data Science.

What You Will Be Doing
  • Leading technical workshops, discovery phases, and deep-dive assessments with enterprise clients
  • Designing and implementing end-to-end AI/Data strategies and architectures aligned with business objectives
  • Driving the execution of complex AI/Data projects across design, implementation, integration, and scaling
  • Guiding clients through best practices, emerging technologies, and operationalization of AI/Data capabilities
  • Collaborating with business, product, and engineering stakeholders to ensure successful project outcomes
  • Mentoring internal teams, contributing to knowledge-sharing initiatives, and strengthening intive’s consulting practice
  • Supporting business growth by identifying new opportunities and shaping consulting offerings
Core Capabilities
  • 5–7+ years of hands‑on experience in AI/Data projects, with proven success delivering solutions for enterprise clients
  • Ability to lead technical assessments, define solution architectures, and guide clients through implementation decisions
  • Strong communication skills, including leading workshops, translating complex technical topics into business insights, and building long‑term client relationships
  • Ability to mentor teams, set delivery direction, and ensure alignment between business goals and technical strategies
  • Strong problem‑solving skills with the ability to shape consulting offerings and drive new opportunities
  • Fluent English (mandatory). Polish, German, or Spanish are a plus
  • Advanced programming skills (Python)
  • Proficiency in at least one major cloud platform
Deep expertise in at least one of the following domains:
Data Engineering
  • Proven ability to design and optimize large‑scale data pipelines, data architectures, and analytical platforms
  • Experience with modern data ecosystems: cloud‑native data pipelines, data warehouses/lakes, streaming systems
  • Advanced programming skills and strong understanding of distributed systems
  • Hands‑on experience with Data Ops/MLOps‑adjacent tooling, orchestration frameworks, CI/CD, and production‑grade data infrastructure
AI Solution Architecture
  • Expertise designing end‑to‑end AI/ML solution architectures across cloud environments (AWS, Azure, or GCP)
  • Strong understanding of data, ML, and application layers and how they integrate into scalable production systems
  • Experience applying generative AI, LLMs, vector databases, embedding‑based retrieval, and modern AI system patterns
  • Ability to define technical strategies, lead deep‑dive workshops, and evaluate emerging technologies for client use cases
Machine Learning & Data Science
  • Advanced experience building and deploying ML models, including classical ML and deep learning approaches
  • Strong analytical and statistical skills, as well as comfort turning raw data into actionable insights
  • Experience with ML lifecycle: feature engineering, training pipelines, evaluation frameworks, and production deployment
  • Familiarity with generative AI, recommendation systems, RAG architectures, and applied LLM techniques
Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Information Technology
  • IT Services and IT Consulting

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Position Requirements
10+ Years work experience
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