Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Jenbach
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will analyze business requirements, design comprehensive Generative AI solution architectures, and manage multiple initiatives while guiding teams in implementing and optimizing GenAI applications.
Job Technologies
Your role in the team
- Analyze business requirements and design end‑to‑end Generative AI (GenAI) solution architectures and implementation plans for company‑wide digital initiatives.
- Lead research and evaluation of GenAI technologies and trends (foundation models, vector databases, agent orchestration frameworks, MLOps platforms) to develop an INNIO-wide GenAI technology roadmap.
- Design and evolve a scalable, reusable GenAI application platform (APIs, services, components) that can be leveraged across multiple products and teams.
- Define architecture and standards for secure, governed data flows between operational systems, data platforms, and GenAI services in alignment with Enterprise Architects.
- Establish and review standards for code, prompts, model configurations, and pipelines in line with software engineering best practices, cyber security, responsible AI, and legal/IP requirements.
- Work on multiple GenAI initiatives in parallel and supervise, coach and guide software and ML/AI engineers in implementing the target architecture.
- Drive and support troubleshooting and optimization of GenAI solutions (quality, latency, cost, reliability, and model behavior) in production environments.
- Provide technical leadership and mentorship, evangelizing GenAI best practices with stakeholders across the company.
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Our expectations of you
Education
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science or related field; Master’s degree is a plus.
Qualifications
- Strong skills in distributed systems, cloud-native architecture (microservices, containers, Kubernetes), and modern data storage and retrieval technologies for GenAI workloads (vector databases and relational/time-series databases, e.g., Postgres/MySQL, ClickHouse or similar).
- Strong focus on software quality, performance, maintainability, and security, including awareness of data privacy, governance and responsible AI considerations.
- Knowledge of modern development processes and ways of working (Agile/Scrum, DevOps).
- Bonus: Familiarity with additional backend/frontend frameworks (Java/Spring Boot, ReactJS), and contributions to open-source AI projects or a strong portfolio of public GenAI prototypes.
- A valid work permit for Austria is a prerequisite for this position (Non-EU citizens: please attach the work permit to the application).
Experience
- 7+ years of experience in software development, with expertise in architecting and delivering AI/ML or GenAI applications at scale on public cloud platforms (AWS, Azure, Google Cloud).
- Hands-on experience with LLMs, GenAI patterns (RAG, agent integration, prompt orchestration), Python, and modern AI/ML ecosystems (PyTorch, TensorFlow, Langchain), plus solid software engineering skills (testing, CI/CD, code review).
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Benefits
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This is your employer
Innio
Jenbach
INNIO is a leading provider of gas engines, energy systems, and digital platforms – as well as complementary services in the field of power generation and gas compression. We're focused on meeting the needs of our customers close to home.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Engineering Industry
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.6
Career Growth
3.5Workingconditions
3.6Culture
4.0Engineering
3.3
Senior Software Architect - Generative AI
- Location
- Jenbach
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
