Senior AI Solution Engineer with AWS

We are looking for a hands-on Senior AI Solution Engineer to help develop an AI-powered Risk Map solution. Working closely with the Solution Architect and an engineering team, you will create an AI-enabled risk assessment system, helping decrease manual effort required from ~30 hours down to ~8 hours per assessment.

The scope of the project will require using advanced AI-enabled engineering techniques (e.g., spec-driven development) and modern tools (Claude Code, Codex, etc.) to deliver on time and within budget.

This role is ideal for an engineer who has experience with real production delivery using AI tools and enjoys working with LLMs, Prompt Engineering, and enterprise AI applications.

Responsibilities

• Build the system according to the architecture and scope defined in the Discovery phase
• Improve prompt quality, AI workflows, and overall solution performance
• Enhance the accuracy, consistency, and reliability of AI-generated outputs
• Implement new AI capabilities following the solution architecture
• Support the integration of AI capabilities into the existing platform
• Collaborate closely with the AI Architect and Lead Engineer
• Participate in testing, validation, and continuous improvement of AI solutions
• Troubleshoot AI-related issues and recommend improvements
• Document implementation details and technical recommendations

Requirements

• 3+ years of experience as an AI Engineer or Software Engineer working with AI solutions
• Background in LLMs and Generative AI with practical Prompt Engineering experience
• Proficiency in working with Claude or similar enterprise LLM platforms
• Familiarity with Claude Skills or similar reusable AI capability frameworks
• Understanding of AI evaluation, prompt optimization, and AI quality improvement
• Strong analytical and problem-solving skills
• Good communication and collaboration skills
• Proficiency in English at an Upper-Intermediate level (B2) or higher

Nice to have

• Hands-on experience with Python
• Skills in AWS cloud services and Amazon Bedrock
• Capability to integrate AI solutions into enterprise applications
• Expertise in AI guardrails, structured outputs, and evaluation techniques
• Background in insurance, risk management, financial services, or enterprise automation

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance
• Well-being events

WORKING ENVIRONMENT

• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’s Software Assurance Home Use Program (HUP)