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Lead Ai Solutions Engineer jobs at Bmc in Lithuania, Kaunas

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Company (1)
Job type
Job categories
Job title (1)
Lithuania
Kaunas
1 jobs found
30.03.2025
BMC

BMC Lead AI Solutions Engineer Lithuania, Kaunas County, Kaunas

Limitless High-tech career opportunities - Expoint
Description:
Description and Requirements

CareerArc Code

Strategic Responsibilities:
  • Lead the technical vision and architecture for AI-powered solutions
  • Drive technology strategy and roadmap for Generative AI initiatives
  • Establish technical standards and best practices for AI engineering
  • Contribute to architectural decisions for complex AI implementations
  • Guide the integration of emerging technologies into existing systems
  • Lead solution design reviews and technical governance
Technical Leadership Responsibilities:
  • Provide architectural oversight for full-stack AI applications
  • Guide the implementation of cloud-native architectures on AWS
  • Establish standards for LLM integration using AWS Bedrock
  • Oversee the development of AI pipelines using Langchain
  • Direct the implementation of security and compliance measures
  • Lead technical debt reduction initiatives
  • Mentor and guide senior developers and engineers
Practice Development responsibilities:
  • Establish and maintain technical standards and documentation
  • Create architectural blueprints and reference implementations
  • Contribute to technical strategy and innovation initiatives
  • Lead technical discovery and proof-of-concept projects
To ensure you’re set up for success, you will bring the following skillset & experience:
  • 12+ years of software development experience
  • 5+ years in technical leadership roles
  • Deep expertise in cloud architecture, preferably AWS
  • Strong background in:
    • Modern AI/ML technologies and frameworks
    • Cloud-native application development
    • Distributed systems and microservices
    • Security architecture and best practices
Technical Expertise Required:
Cloud & Infrastructure:
  • Expert knowledge of AWS services, especially:
    • EKS and Kubernetes orchestration
    • Container services and microservices
    • RDS and database optimization
    • IAM and security services
    • Cloud cost optimization
AI/ML Technologies:
  • Deep understanding of:
    • LLM architectures and implementations
    • AWS Bedrock and similar AI services
    • Langchain and LLM frameworks
    • Vector databases and embeddings
    • ML deployment patterns
Development & Architecture:
Expertise in:
  • Full-stack development (React, FastAPI)
  • Python ecosystem for AI/ML
  • RESTful API design
  • Authentication systems (OKTA)
  • Database design and optimization
  • CI/CD and DevOps practices
Nice to have skills
  • Advanced degree in Computer Science or related field
  • Cloud certifications (AWS Solutions Architect Professional, etc.)
  • Experience with AI research and implementation

Min salary

Mid point salary

Max salary

Expand
Limitless High-tech career opportunities - Expoint
Description:
Description and Requirements

CareerArc Code

Strategic Responsibilities:
  • Lead the technical vision and architecture for AI-powered solutions
  • Drive technology strategy and roadmap for Generative AI initiatives
  • Establish technical standards and best practices for AI engineering
  • Contribute to architectural decisions for complex AI implementations
  • Guide the integration of emerging technologies into existing systems
  • Lead solution design reviews and technical governance
Technical Leadership Responsibilities:
  • Provide architectural oversight for full-stack AI applications
  • Guide the implementation of cloud-native architectures on AWS
  • Establish standards for LLM integration using AWS Bedrock
  • Oversee the development of AI pipelines using Langchain
  • Direct the implementation of security and compliance measures
  • Lead technical debt reduction initiatives
  • Mentor and guide senior developers and engineers
Practice Development responsibilities:
  • Establish and maintain technical standards and documentation
  • Create architectural blueprints and reference implementations
  • Contribute to technical strategy and innovation initiatives
  • Lead technical discovery and proof-of-concept projects
To ensure you’re set up for success, you will bring the following skillset & experience:
  • 12+ years of software development experience
  • 5+ years in technical leadership roles
  • Deep expertise in cloud architecture, preferably AWS
  • Strong background in:
    • Modern AI/ML technologies and frameworks
    • Cloud-native application development
    • Distributed systems and microservices
    • Security architecture and best practices
Technical Expertise Required:
Cloud & Infrastructure:
  • Expert knowledge of AWS services, especially:
    • EKS and Kubernetes orchestration
    • Container services and microservices
    • RDS and database optimization
    • IAM and security services
    • Cloud cost optimization
AI/ML Technologies:
  • Deep understanding of:
    • LLM architectures and implementations
    • AWS Bedrock and similar AI services
    • Langchain and LLM frameworks
    • Vector databases and embeddings
    • ML deployment patterns
Development & Architecture:
Expertise in:
  • Full-stack development (React, FastAPI)
  • Python ecosystem for AI/ML
  • RESTful API design
  • Authentication systems (OKTA)
  • Database design and optimization
  • CI/CD and DevOps practices
Nice to have skills
  • Advanced degree in Computer Science or related field
  • Cloud certifications (AWS Solutions Architect Professional, etc.)
  • Experience with AI research and implementation

Min salary

Mid point salary

Max salary

Expand
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