hackajob
Base pay range
$144,500.00/yr - $209,300.00/yr hackajob
is collaborating with
Boeing
to connect them with exceptional tech professionals for this role. Overview
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a
Senior
Machine Learning Architect
to join the team in
Seattle, WA; North Charleston, SC; Mesa, AZ; Plano, TX;
or
Ridley Park, PA . We are looking for a talented and experienced Senior Machine Learning Architecture leader to join our dynamic team. The ideal candidate will play a pivotal role in leading, designing and implementing scalable machine learning systems and architectures that empower our organization to make informed, data-driven decisions. As a Machine Learning Architecture leader, you will collaborate closely with cross-functional teams to thoroughly understand business requirements and translate them into high reliable solution designs. You will then lead highly scalable, secure, and cost-effective solutions tailored to address specific business challenges. This role demands a deep understanding of cloud, data and machine learning technologies, along with a proven track record in developing repeatable and reusable architecture frameworks. Join us in shaping the future of our cloud and data strategy.
Position Responsibilities
Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Collaborate with data engineers, data scientists, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production
Provide technical guidance to ML engineers and data scientists including documenting standards and best practices
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership and cross-team updates
Establish working relationships with vendors (Technology and Consulting), partners and cross teams and holding them accountable
Basic Qualifications (Required Skills/Experience)
Bachelor’s degree or higher
10+ years of experience in Data or AI or Machine Learning related solution architecture roles
5+ years of experience in architecting scalable ML solutions in cloud environments (e.g., AWS, Azure, GCP) and other SAAS products like Databricks
5+ years of experience deploying, monitoring and managing ML systems in production environments
5+ years of experience with programming skills in Python, R, Java, or C++
3+ years of experience in AI & ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Langchain, Ray, MLFlow, etc.)
Preferred Qualifications (Desired Skills/Experience)
5+ years of experience in the manufacturing or aviation domain
5+ years of experience with big data technologies and data engineering practices
Experience in multi-cloud and hybrid AI architectures
Experience with generative AI, NLP, computer vision, or reinforcement learning
Experience with CI/CD pipelines, DevOps practices and containerized deployments
Experience with fine-tuning and optimization approaches (LoRA / QLoRA, PEFT, parameter-efficient training), and cost/performance tradeoffs across CPU/GPU/accelerators
Experience with open-source ML projects or publications in relevant fields
Other Requirements
Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. 120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
Export Control Details: US based job, US Person required
Education: Bachelor\'s Degree or Equivalent Required
Relocation: Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship: Employer will not sponsor applicants for employment visa status.
Shift: This position is for 1st shift
Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Applications for this position will be accepted until Sept. 29, 2025.
#J-18808-Ljbffr
$144,500.00/yr - $209,300.00/yr hackajob
is collaborating with
Boeing
to connect them with exceptional tech professionals for this role. Overview
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a
Senior
Machine Learning Architect
to join the team in
Seattle, WA; North Charleston, SC; Mesa, AZ; Plano, TX;
or
Ridley Park, PA . We are looking for a talented and experienced Senior Machine Learning Architecture leader to join our dynamic team. The ideal candidate will play a pivotal role in leading, designing and implementing scalable machine learning systems and architectures that empower our organization to make informed, data-driven decisions. As a Machine Learning Architecture leader, you will collaborate closely with cross-functional teams to thoroughly understand business requirements and translate them into high reliable solution designs. You will then lead highly scalable, secure, and cost-effective solutions tailored to address specific business challenges. This role demands a deep understanding of cloud, data and machine learning technologies, along with a proven track record in developing repeatable and reusable architecture frameworks. Join us in shaping the future of our cloud and data strategy.
Position Responsibilities
Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Collaborate with data engineers, data scientists, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production
Provide technical guidance to ML engineers and data scientists including documenting standards and best practices
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership and cross-team updates
Establish working relationships with vendors (Technology and Consulting), partners and cross teams and holding them accountable
Basic Qualifications (Required Skills/Experience)
Bachelor’s degree or higher
10+ years of experience in Data or AI or Machine Learning related solution architecture roles
5+ years of experience in architecting scalable ML solutions in cloud environments (e.g., AWS, Azure, GCP) and other SAAS products like Databricks
5+ years of experience deploying, monitoring and managing ML systems in production environments
5+ years of experience with programming skills in Python, R, Java, or C++
3+ years of experience in AI & ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Langchain, Ray, MLFlow, etc.)
Preferred Qualifications (Desired Skills/Experience)
5+ years of experience in the manufacturing or aviation domain
5+ years of experience with big data technologies and data engineering practices
Experience in multi-cloud and hybrid AI architectures
Experience with generative AI, NLP, computer vision, or reinforcement learning
Experience with CI/CD pipelines, DevOps practices and containerized deployments
Experience with fine-tuning and optimization approaches (LoRA / QLoRA, PEFT, parameter-efficient training), and cost/performance tradeoffs across CPU/GPU/accelerators
Experience with open-source ML projects or publications in relevant fields
Other Requirements
Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. 120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
Export Control Details: US based job, US Person required
Education: Bachelor\'s Degree or Equivalent Required
Relocation: Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship: Employer will not sponsor applicants for employment visa status.
Shift: This position is for 1st shift
Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Applications for this position will be accepted until Sept. 29, 2025.
#J-18808-Ljbffr