Top Artificial Intelligence Jobs in Turkey

Work with clients to solve data, analytics, and AI challenges; design and deliver data platforms and AI solutions; improve data governance and access; collaborate across business and technology teams; and contribute to Capco’s growing Data & AI practice in Qatar.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Design and improve mobile health coaching experiences focused on behavior change, AI-generated coaching, gamification, and user engagement. Collaborate cross-functionally to develop innovative UI/UX solutions, using user psychology, UX research, data analytics, and rapid experimentation to inform decisions. Generate and present original design hypotheses, validate solutions, and improve customer journeys, motivation, habits, and long-term loyalty.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Owns core platform experiences across homepage, user center, AI-generated interfaces, and market pages. The role leads onboarding and activation optimization, personalization and recommendation strategies, generative UI development, and cross-functional product delivery. Responsibilities include partnering with AI, search, recommendation, and LLM teams; defining metrics; running experiments; and using data to improve conversion, engagement, and user journeys across a global fintech and cryptocurrency platform.

Source proprietary company data and domain expertise for frontier AI labs, manage outreach and enterprise relationships, negotiate data-sourcing agreements, and coordinate with internal data and product teams to deliver structured, training-ready datasets. Build and prioritize a pipeline of prospective data sources and enterprise partners.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

Lead in-house, cross-functional improvement initiatives across underwriting, claims and operations. Use structured problem-solving, process mapping, data analysis and pragmatic automation/AI to design, implement and measure scalable efficiency improvements and prepare business cases for senior management.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Lead technical sales engagements for public sector accounts in Turkey. Translate government and critical infrastructure requirements into Cisco networking and security architectures, manage large-scale technical opportunities, support end-to-end sales cycles, conduct competitive analysis, and present strategic solutions to senior government customers.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Leads global industrial automation and robotics strategy, standards, architecture, technology selection, supplier partnerships, and solution deployment across manufacturing and warehousing sites. Drives smart manufacturing roadmaps, project delivery, operational handover, continuous improvement, and measurable gains in safety, quality, productivity, stability, and cost efficiency. Serves as the global technical authority while coordinating stakeholders across regions and supporting scalable automation, integration, and cybersecurity practices.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Supports product backlog prioritization, analyzes customer, operational, market, and business data, and identifies product opportunities. Collaborates with operations, data, BI, and technology teams to develop practical solutions. Explores AI-powered product ideas, supports pilots, measures outcomes, and contributes to cross-functional initiatives that improve customer experience, inventory, store, warehouse processes, and operational efficiency.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Drive sprint preparation, maintain backlog hygiene, draft user stories, translate client needs into software requirements, coordinate cross-team prioritization, track decisions/action items, and take day-to-day ownership of product operations while communicating between Product, Engineering, and Customer Success.

Research, prototype, and integrate AI/ML (computer vision, NLP) solutions into game art, animation, audio, and pipelines. Collaborate with designers, artists, and developers, provide training, and stay current on AI and gaming trends to enhance visual and audio game experiences.