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Software Engineer Sr - AI Solutions

Minneapolis, MN

Full-time

Onsite

Senior Level, Lead/Staff

$140K/yr - $210K/yr

10+ years exp

Doosan Bobcat is a leading global manufacturer of construction and agricultural equipment. The Technical Software Engineer Sr is responsible for designing and developing scalable software systems, mentoring team members, and integrating AI and machine learning technologies into core products.

ConstructionIndustrial EngineeringIndustrial ManufacturingManufacturingMechanical Engineering

Responsibilities

Participate in the planning, architecture, and development of software solutions, including integrating AI, machine learning, and data-driven features where applicable

Writing high quality code to develop and maintain scalable, high-quality systems, emphasizing performance, security, and long-term sustainability

Drive deployment, monitoring, and continuous improvement of systems, including AI models and analytics components

Mentor and coach junior and mid-level team members, fostering a collaborative, innovative environment

Collaborate with cross-functional teams including product managers, solution architects, data scientists, and external vendors to realize strategic solutions that may incorporate AI capabilities. Drive dependency resolution and risk mitigation

Participate in Agile ceremonies and PI Planning

Lead knowledge sharing around emerging technologies, best practices, and responsible AI use

Manage project timelines, resources, and deliverables effectively across teams, including overseeing and directing the work of contractors and external vendors to ensure deliverables meet standards and deadlines

Collaborate with stakeholders to integrate solutions into broader systems and workflows, ensuring seamless operation and alignment with organizational goals

Monitor project progress, mitigate risks, and ensure timely, high-quality delivery of all project components

Troubleshoot performance, scalability, and security issues across the software stack and data pipelines

Continuously optimize system architecture and deployment pipelines, including refining AI/ML models to improve accuracy, robustness, and fairness

Implement best practices in system monitoring and operational excellence to maintain reliability

Contribute to the organization’s long-term technical vision, emphasizing scalable architecture and responsible adoption of emerging technologies

Ensure code delivered aligns to internal standards

Provide informed recommendations on the use of AI, secure coding, compliance, data handling, infrastructure, and new tools, while considering ethical standards and potential business impact

Stay informed of industry trends, research, and emerging innovations, incorporating relevant advances into organizational strategies

Qualification

AI solutionsCloud platformsMicroservices architectureProgramming languagesDatabase systemsAgile methodologiesProblem-solvingCommunication skillsProject managementMentorship

Required

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

10+ years of professional experience in software development, demonstrating a proven track record of delivering scalable, reliable systems

Experience encompasses technical leadership, mentorship, and collaboration across cross-functional teams

Extensive expertise in cloud platforms, microservices architecture, and emerging technologies such as AI and data-driven solutions

Proficiency in multiple programming languages (e.g., Java, Python, NodeJS) and frameworks; strong understanding of system architecture, design patterns, and best practices

Experience with cloud platforms (e.g., AWS, Azure, GCP), microservices architecture, API design, and containerization (e.g., Docker, Kubernetes)

Knowledge of database systems (SQL, NoSQL) and data pipelines

Demonstrated success in leading projects and mentoring teammates

Exceptional problem-solving, debugging, and performance tuning abilities

Excellent communication skills for collaborating with technical and non-technical stakeholders

Solid experience working within Agile or Scrum frameworks

Strong project management skills to ensure timely, quality delivery

Travel requirements: < 10% travel