Solution Architect

Are you someone who loves turning bold ideas into reality? Does the thought of experimenting with cutting-edge tech and creating quick Proof of Concepts (POCs) excite you? At Arionkoder, our Innovation Team is searching for a Solution Architect who thrives on pushing boundaries and sharing their journey through impactful communication. If you’re passionate about reshaping what’s possible with technology, we’d love to meet you.

What You’ll Do

• Design and implement architecture: Design end-to-end technical architectures for engineering solutions that are modular, scalable, and easy to iterate on. Responsible across the innovation lifecycle from ideation, prototyping, to deployment of the technical architecture of AI solutions.
• Engage with client: Collaborate with sales teams and stakeholders to uncover client challenges and AI opportunities. Lead discovery sessions to translate complex needs into actionable solution designs.
• Present tailored proposals: demos, and proof‑of‑concepts that highlight business value and scalability.
• Build trust through technical credibility: clear communication, and a consultative approach that fosters long‑term partnerships.
• Define system components: Model layer, embedding logic, storage, orchestration, and observability, among others.
• Security & DevOps: Review with the security and DevOps team the technical definitions inside the proposed architecture
• Lead technical discovery alongside our AI Director and CTO, with the help of software developers.
• Experiment and Build: Rapidly prototype and iterate on backend solutions, creating POCs to explore new ideas and validate use cases.
• Collaborate Creatively: Partner with developers, ML engineers, and domain experts to design and deliver innovative solutions.
• Integrate Thoughtfully: Integrate AI/ML models into backend systems, optimizing their performance for scalable, real-world applications.
• Support pre-sales efforts by providing technical guidance and accurate estimations.
• Optimize and Secure: Build scalable, secure systems using AWS services and adhere to industry best practices. Build core services and APIs using Python, LangChain, FastAPI, and related tools. Ensure clean, maintainable code and efficient integration of ML/data pipelines.
• Mentor and Lead: Guide team members, sharing your knowledge and fostering a culture of curiosity and experimentation.

What We’re Looking For

- Highly seasoned solution architect with 5+ years of experience and familiarity with AI solutions, Data Pipelines and Data Product architectures.

- Curiosity and Passion: You’re eager to explore emerging backend technologies and stay ahead of the curve.

- Experimental Mindset: You are comfortable testing, iterating, and learning from feedback in fast iteration cycles.

- Hands-On Problem-Solver: You’re driven to create, prototype, and refine solutions quickly, learning from successes and failures alike.

- Estimations

- Great Communicator: You excel at making technical ideas accessible, inspiring your team and the broader organization.

- Team-Oriented Mindset: You succeed in multidisciplinary teams and believe innovation is strongest when perspectives combine.

- Technical Expertise:

Previous Experience in Pre-sales

High proficiency in Python and backend development.

Enterprise Architecture mindset with a breadth of cross-functional domains and technologies/skillset.

Sound knowledge in Architectural Patterns, best practices, security, and Non-Functional Requirements

Strong experience with Cloud Services (AWS, GCP, Azure).

Solid understanding of AI/ML models and pipelines.

Solid understanding of CI/CD pipelines.

Experience with security and safety standards in software engineering

Knowledge of microservices using Kubernetes, Docker or similar tech

Knowledge of Infrastructure-as-Code tools like Terraform.

- Extra skills that can make you stand out:

Familiarity with LLMs Architectures, Gen AI, RAG Architectures and Multiagent systems.

Exposure to event-driven architectures and message queues (e.g., SQS, SNS, Kafka).

Understanding of security frameworks such as NIST/OWASP/ISO27001

Understanding of Azure OpenAI, AWS Bedrock, Google Vertex AI

Understanding of database optimization and performance tuning for both SQL and NoSQL databases.

Join us!