Job Description
G
GPAC
Mechanical Systems Design Engineer
GPAC • Los Angeles, CA, United States • via Jobs For Stevenage Fans
14 hours ago
Full–time
Apply on Jobs For Stevenage Fans
Apply on SaluteMyJob
Apply on Edinburgh City FC
Apply on Aspire Media Group Jobs
Apply on FOX8 Jobs
Apply on Positions For Col U Fans
Apply on My Valley Jobs Today
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's degree in Mechanical Engineering or a related field
5+ years of mechanical design experience in a manufacturing or engineering environment
Strong knowledge of HVAC systems, refrigeration, pumps, or piping systems
2 more items(s)
Benefits
This region provides a superb balance of affordability and quality of life, featuring short commutes and excellent homeownership opportunities
This onsite position offers a competitive salary along with a comprehensive benefits package, including:
Health, Dental, and Vision Insurance
5 more items(s)
Responsibilities
Designing mechanical systems and components for HVAC equipment and fluid transfer systems, often integrated onto mobile platforms and trailers
Creating detailed 3D models, assemblies, and fabrication drawings using SolidWorks
Developing and maintaining Bills of Materials (BOMs), design documentation, and engineering change records
4 more items(s)
Job description
Exciting Opportunity for a Mechanical Design Engineer!
Custom Equipment & HVAC Systems
A dynamic, well-established manufacturing company with over 25 years of success and growth is seeking a skilled Mechanical Design Engineer to enhance its engineering team. This company, known for its engineering-driven culture, specializes in highly customized temperature control and fluid transfer systems for...
Report this listing
Deloitte
Forward Deployed Engineer - Senior AWS
Deloitte • Los Angeles, CA, United States • via Jobs - Deloitte
6 hours ago
Full–time
Apply on Jobs - Deloitte
Apply on Indeed
Apply directly on ZipRecruiter
Apply on Teal
Apply on Built In
Apply on SimplyHired
Apply on Jobright
Apply on LinkedIn
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering
5+ years of experience in software engineering, data engineering, data science, or analytics engineering
1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
5 more items(s)
Benefits
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs
A reasonable estimate of the current range is $130,800 to $241,000
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance
Responsibilities
If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations
As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions
This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one
17 more items(s)
Job description
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Work you'll do
As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:
Client Engagement
• Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
• Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
• Lead working sessions to shape solutions and drive client outcomes.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Contribute independently within an FDE pod while mentoring newer team members.
• Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
• Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
• Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.
Solution Engineering
• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
• Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
• Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
• Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
• Design extensible functionality, support sprint sizing, and align solutions with senior team members.
• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
• Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
• 5+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
• 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products; Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails
• 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
• 1+ years of experience building reliable, maintainable, and well-documented code
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred qualifications
• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
• Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
• Experience operating within hybrid onshore/offshore teams
• Familiarity with security, privacy, and compliance considerations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
GPAC
Mechanical Systems Design Engineer
GPAC • Los Angeles, CA, United States • via Jobs For Stevenage Fans
14 hours ago
Full–time
Apply on Jobs For Stevenage Fans
Apply on SaluteMyJob
Apply on Edinburgh City FC
Apply on Aspire Media Group Jobs
Apply on FOX8 Jobs
Apply on Positions For Col U Fans
Apply on My Valley Jobs Today
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's degree in Mechanical Engineering or a related field
5+ years of mechanical design experience in a manufacturing or engineering environment
Strong knowledge of HVAC systems, refrigeration, pumps, or piping systems
2 more items(s)
Benefits
This region provides a superb balance of affordability and quality of life, featuring short commutes and excellent homeownership opportunities
This onsite position offers a competitive salary along with a comprehensive benefits package, including:
Health, Dental, and Vision Insurance
5 more items(s)
Responsibilities
Designing mechanical systems and components for HVAC equipment and fluid transfer systems, often integrated onto mobile platforms and trailers
Creating detailed 3D models, assemblies, and fabrication drawings using SolidWorks
Developing and maintaining Bills of Materials (BOMs), design documentation, and engineering change records
4 more items(s)
Job description
Exciting Opportunity for a Mechanical Design Engineer!
Custom Equipment & HVAC Systems
A dynamic, well-established manufacturing company with over 25 years of success and growth is seeking a skilled Mechanical Design Engineer to enhance its engineering team. This company, known for its engineering-driven culture, specializes in highly customized temperature control and fluid transfer systems for...
Report this listing
Deloitte
Forward Deployed Engineer - Senior AWS
Deloitte • Los Angeles, CA, United States • via Jobs - Deloitte
6 hours ago
Full–time
Apply on Jobs - Deloitte
Apply on Indeed
Apply directly on ZipRecruiter
Apply on Teal
Apply on Built In
Apply on SimplyHired
Apply on Jobright
Apply on LinkedIn
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering
5+ years of experience in software engineering, data engineering, data science, or analytics engineering
1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
5 more items(s)
Benefits
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs
A reasonable estimate of the current range is $130,800 to $241,000
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance
Responsibilities
If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations
As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions
This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one
17 more items(s)
Job description
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Work you'll do
As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:
Client Engagement
• Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
• Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
• Lead working sessions to shape solutions and drive client outcomes.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Contribute independently within an FDE pod while mentoring newer team members.
• Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
• Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
• Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.
Solution Engineering
• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
• Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
• Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
• Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
• Design extensible functionality, support sprint sizing, and align solutions with senior team members.
• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
• Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
• 5+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
• 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products; Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails
• 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
• 1+ years of experience building reliable, maintainable, and well-documented code
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred qualifications
• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
• Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
• Experience operating within hybrid onshore/offshore teams
• Familiarity with security, privacy, and compliance considerations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
💡 Quick Summary
Seeking a career-building opportunity? The Forward Deployed Engineer - Senior AWS position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
