GenAI Consultant

Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle, SAP) in a secure and resilient private, public or hybrid cloud. With strong technical and functional consulting services, and world-class monitoring and automation, Syntax serves some of North America’s largest corporations across a diverse range of industries. Syntax has offices worldwide, and partners with Oracle, SAP, AWS, Microsoft, IBM and other global technology leaders.

Position Description

GenAI Consultant (Operations / Technology Delivery)

Overview

As a GenAI Consultant, you are responsible for the technical implementation of Generative AI (GenAI) use cases and solutions for internal and customer scenarios.

Your primary focus is on designing, deploying, and optimizing GenAI agents, selecting appro-priate Large Language Models (LLMs), developing knowledge bases, integrating data sources, selection and setup of agent-tools and implementing AI‑driven process automation.

This role is highly technical and hands‑on, positioned at Consultant level (Syntax internal: CONS3) or below, and well suited for candidates with experience in software engineering, AI application development, or system integration.

While deep GenAI experience is desirable, we also welcome applicants with strong funda-mentals in data, ML, or software engineering who are eager to evolve into this field.

Key Responsibilities

LLM and Agent Engineering:

· Design, implement, and optimize GenAI agents aligned to use cases and business ob-jectives.

· Evaluate and select suitable LLMs (e.g., Azure OpenAI, Anthropic, Amazon, Meta, Mis-tral, DeepSeek, Google, Groq) based on latency, context, compliance, and cost factors.

· Develop and fine tune prompts, system messages, and chains to ensure accuracy and performance.

· Build retrieval augmented generation (RAG) pipelines and implement prompt opti-mization workflows.

Knowledge Management and Integration:

· Build and maintain knowledge bases by connecting to diverse data sources (docu-ments, APIs, databases, vector stores, SharePoint).

· Configure and manage MCP (Model Context Protocol) Servers or similar infrastruc-ture to ensure system scalability and data security.

· Integrate backend systems via APIs, connectors, and automation frameworks.

Automation and Process Enablement:

· Identify and implement AI-driven automation and workflow orchestration opportu-nities.

· Collaborate with technical leads to embed AI capabilities into business and manufac-turing processes.

Best Practices and Optimization:

· Define technical standards, reusable components, and reference architectures for GenAI solutions.

· Work closely with data engineers, solution architects, and cloud specialists to ensure system reliability and compliance.

· Support performance monitoring, versioning, and lifecycle management of AI models and agents.

· Stay current with advancements in AI frameworks, orchestration tools (LangChain, LlamaIndex, Semantic Kernel), and best practices.

Optional / Preferred Competencies – DevOps & Cloud (AWS):

· Hands-on experience with AWS Cloud services (e.g., SageMaker, Bedrock, Lambda, EKS, ECS).

· Knowledge of CI/CD pipelines, model deployment automation, and infrastructure as code (CDK, CloudFormation, Terraform).

· Familiarity with monitoring tools such as CloudWatch or Grafana.

Requirements

Professional Experience:

· Consultant level (CONS3 or below) – typically 3–5 years total professional experience.

· Experience in software development, data/ML, cloud integration, or AI‑based solu-tions.

· Practical exposure to GenAI or LLM frameworks (1–2 years) or strong related expe-rience in AI/ML implementation.

Technical Skills:

· Proficiency in Python.

· Understanding of LLM APIs, vector databases, and RAG designs.

· Experience with containerization (Docker, Kubernetes) and API development.

· Familiarity with embedding models, data pipelines, and AI orchestration frameworks.

· Advantageous: DevOps/AWS experience or interest in developing these skills.

Soft Skills:

· Analytical mindset and strong problem-solving skills.

· Curiosity and willingness to learn rapidly evolving AI technologies.

· Ability to collaborate effectively with multicultural, cross functional teams.

· Clear communication skills for both technical and non-technical stakeholders.

Education & Language:

· Degree in Computer Science, Engineering, Data Science, or related technical discipline - or equivalent hands-on experience in AI, ML, or software development.

· Professional proficiency in English (German beneficial but not mandatory).

Why Syntax?

Become a part of our success story and work in a company with exciting innovation projects that are causing a stir across the industry. We recently launched one of the world's most advanced manufacturing facilities based on SAP S/4HANA Cloud and SAP Digital Manufacturing Cloud for Execution - for Smart Press Shop, a pioneering joint venture between Porsche and forming specialist Schuler.  

• Competitive, above-average compensation
• Global tourist: With us, you can also work from abroad from time to time
• Flexible working time models, home office
• Attractive benefits, e.g. company pension scheme or various health offers
• A modern environment in which the "you" is part of it
• Open feedback culture, flat hierarchies and a motivated team
• Individual career planning with continuous training and coaching on the job

You see a personal challenge in this responsible task? Apply now - and become part of the SYNTAX team!