Forward Deployed AI Engineer

Digitopia; Fatih; Hybrid; TRY 1,200,000 - 1,800,000; Full time

Job summary

Digitopia seeks a Forward Deployed AI Engineer to bridge business challenges and technical execution. You’ll prototype, deploy, and support generative AI solutions with a focus on reliability, governance, and security.

You’ll collaborate with consulting, product and engineering teams, work across AWS, Anthropic models, API integrations, and enterprise platforms such as SAP, delivering value from discovery to production.

Qualifications

• Experience across software engineering, AI/ML, data or solutions engineering, technical consulting, or a related field.
• Fluent in English; additional language a plus.
• Understanding APIs, SQL, data pipelines, software architecture, version control, and cloud environments.
• Experience building AI, ML, LLM or generative AI applications.

Responsibilities

• Translate client challenges into clear AI use cases and technical requirements.
• Share client needs with product and engineering teams to shape reusable solutions.
• Prototype, develop, test and support generative and agentic AI solutions.
• Build with AWS services, Anthropic models, and other project-specific tech.
• Contribute to reliability with guardrails, evaluations and context-management.
• Collaborate with internal teams to turn prototypes into practical solutions.

Skills

Software engineering

AI/ML

Data engineering

Solutions engineering

Technical consulting

Cloud environments

Communication with stakeholders

Tools

Kotlin

Java

Spring

gRPC

OpenAPI/Swagger

PostgreSQL

SAP or SAP BTP

CI/CD

Docker

Kubernetes

Terraform

Job description

A hands-on builder, curious consultant and structured problem solver in one. You will work closely with customers, navigate ambiguous business challenges, and turn them into secure, scalable AI solutions that move from the first conversation to production.

Digitopia is reinventing consulting. We help ambitious organizations #ScaleValue. As creators of the Impact Platform and maturity frameworks, we help companies understand where they stand, decide what matters next, and turn their digital and AI ambitions into measurable progress.

Now, we are taking the next step in our AI-first journey: helping organizations turn AI ambition into practical solutions, measurable business value, and lasting transformation.

To make that happen, we are looking for a Forward Deployed AI Engineer.

What success looks like

You will bridge the gap between business ambition and technical execution. Success means:

• Turning high-value business problems into working AI solutions with measurable impact.
• Owning delivery from discovery and technical scoping through prototyping, deployment and adoption.
• Building trust with business leaders, end users and technical teams.
• Moving fast without losing sight of quality, security, governance or maintainability.

What you’d work on

Client needs into technical solutions

Work with Digitopia’s consulting, product and engineering teams to understand business challenges and translate them into clear AI use cases and technical requirements.

Field insights into product improvements

Share recurring client needs with product and engineering teams to shape reusable solutions.

Prototype, develop, test and support the implementation of generative and agentic AI solutions.

Build with AWS services, Anthropic models, and other technologies selected according to each project’s needs.

Reliability

Contribute to agentic applications, including evaluations, guardrails, and appropriate reliability and context-management practices.

Integrate solutions with APIs, data sources, business applications and platforms such as SAP.

Idea to implementation

Collaborate with internal teams, contribute to technical planning, identify potential risks, and help turn prototypes into practical solutions.

What makes you a great fit

• You bring relevant experience across software engineering, AI/ML, data or solutions engineering, technical consulting, or a related field.
• Strong new graduates with meaningful internships, academic work, open-source contributions or personal projects are encouraged to apply.
• You understand the fundamentals of APIs, SQL, data pipelines, software architecture, version control and cloud environments.
• You have built or meaningfully contributed to an AI, ML, LLM or generative AI application.
• Previous experience building similar solutions is a strong advantage. Please include links to relevant projects, a portfolio, GitHub profile, case studies or demos where available.
• You are curious about how businesses operate and can translate a real-world problem into a technical solution.
• You communicate clearly with both technical and non-technical stakeholders.
• You are comfortable working with evolving requirements and making progress without having every answer upfront.
• You take ownership, ask thoughtful questions, and follow through.
• You are fluent in English. An additional language is a plus.

Experience with any of these would be a plus

• Cloud and AI platforms: AWS, AWS Bedrock, and Anthropic’s Claude.
• AI patterns: agentic AI, RAG, vector databases, prompt caching, evaluations and guardrails.
• Backend and integration: Kotlin, Java, Spring, gRPC, OpenAPI/Swagger, PostgreSQL, SAP or SAP BTP, and enterprise system integration.
• Data and infrastructure: Databricks, Snowflake, Docker, Kubernetes, Terraform, and CI/CD.

You do not need to match every keyword. We care more about how quickly you learn, how effectively you apply new knowledge, what you can build, and how seriously you take ownership.

What’s in it for you

Impact from day one

Work on real customer problems and see the solutions you build create measurable value.

A rare career path

Grow at the intersection of AI engineering, consulting, product thinking and customer delivery.

Work with AWS Bedrock, Anthropic’s Claude, enterprise platforms, and the latest developments in generative and agentic AI.

Access mentorship, courses, experimentation time and internal knowledge-sharing.

Take responsibility for meaningful projects.

Enjoy hybrid working, flexible hours and generous paid time off.

Join a team that values authenticity, curiosity, bold ideas and learning through action.

Long-term rewards

Receive a highly competitive compensation package with stock options tied to your lasting impact.

Ready to turn real-world problems into AI systems people actually use?

Hybrid (Istanbul), full-time.