What are the responsibilities and job description for the Principal AI Engineer (Remote - United States) position at Hexagon Asset Lifecycle Intelligence?
Responsibilities
Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
Hexagon’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities. We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
Our technologies help produce actionable insights that enable better decision-making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
Why work for Hexagon?
At Hexagon, if you can see it, you can do it. Hexagon’s Asset Lifecyle Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces*. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world.
At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.
- Lead the end-to-end development of Generative AI solutions on AWS, from conceptualization to production deployment.
- Collaborate with cross-functional teams to integrate AI capabilities seamlessly into ETQ’s SaaS products.
- Develop and optimize applications and services using Python that leverage Large Language models.
- Develop scalable, reliable, and secure Gen AI solutions in a multi-tenant SaaS environment.
- Incorporate Retrieval-Augmented Generation (RAG) techniques, fine-tuning AI models and other context techniques in the solution.
- Use data wrangling frameworks and orchestrating AI workloads.
- Oversee the entire lifecycle of AI features, from ideation and development to deployment and maintenance.
- Design and implement autonomous AI agents capable of performing tasks and making decisions with minimal human intervention.
- Continuously assess the performance of Gen AI solution, utilizing user feedback and performance metrics to refine their algorithms.
- Keep current of the latest developments in Generative AI, AI agent technologies and methodologies, integrating relevant advancements into our SaaS platform to drive continuous innovation.
- Implement automated test cases that exercise and test the produced code.
- Working with other team members (engineers, Bl analysts, data scientists, QA) as part of an agile team using Scrum (using JIRA).
- Mentoring team members
- B.S. Degree in Computer Science, Computer Information Systems, or related discipline.
- Strong working experience with Amazon Web Services, specifically AWS AI-related services
- Proficiency in one or more of the ML frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience with deep learning, NLP, computer vision, and reinforcement learning
- Strong grasp of ML algorithms: supervised/unsupervised learning, clustering, regression, classification
- Experience with big data tools: Spark, Hadoop, Kafka
- Knowledge of data storage and ETL (SQL, NoSQL, FiveTran, Snowflake)
- Proven track record in delivering Generative AI solutions using AWS Services such as AWS Bedrock, SageMaker, Glue, Kinesis, etc.
- Ownership of the full software development lifecycle, from understanding requirements and analysis to TDD, design, development, deployment, release, and support.
- Experienced in using version control tools, using Cl tools, and automation of the SDLC.
- Familiarity with high-scale cloud architecture and multi-tenant SaaS based systems.
- Experience of AWS services like Amazon SageMaker AI, AWS Bedrock, AWS Dynamo DB, Lambda, API Gateway.
- Experience of scripting languages Python, Java, Scala, R.
- Experience of LLM development framework like LangChain, LangGraph.
- Experience in Machine learning model development and data management.
- Knowledge of Multi-tenant SaaS architecture.
Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
Hexagon’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities. We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
Our technologies help produce actionable insights that enable better decision-making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
Why work for Hexagon?
At Hexagon, if you can see it, you can do it. Hexagon’s Asset Lifecyle Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces*. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world.
- In the recently concluded workplace effectiveness survey by Korn Ferry, a global HR advisory firm, Hexagon, Asset Lifecycle Intelligence division has emerged as one of the most Engaged and Enabled workplaces, when compared to similar organizations that Korn Ferry partners with.
At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.
