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delivery consultant- genai/ml, aws, industries Jobs in Seattle

delivery consultant- genai/ml, aws, industries

senior software engineer ai ml

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role is part of Enterprise Technology (ET), where we&rsquo;re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin&rsquo;s mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.<div></div><div>
The Enterprise Data Management &amp; Analytics team supervises the platform and data management capabilities that enable analytics, data engineering and data science across the company. We are constantly innovating in the ways we are automating and accelerating the creation of products using innovative software and hardware technologies. We use the latest AWS technologies, big data approaches, and ML to build distributed, highly available systems to achieve our goals.</div><div></div><div>
We are seeking a highly skilled Software Engineer III - AI/ML to join our Machine Learning team. This role requires an individual with a deep understanding of software development, machine learning and a broad range of technical capabilities. The ideal candidate will be hands-on and ready to dive in.</div><div></div><div>
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!</div><div></div><div>
What You Will Be Doing:</div><ul><li><div>
Design and implement scalable, low-latency AI services powering metadata generation and feature extraction</div></li><li><div>
Collaborate with business stakeholders and engineering peers to understand and translate business requirements into flexible design solutions</div></li><li><div>
Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns</div></li><li><div>
Own features end&#8209;to&#8209;end: from project estimation and architecture review through coding, deployment, and post&#8209;launch measurement</div></li><li><div>
Build resilient systems with strong observability, bringing to bear automated testing, monitoring, and CI/CD pipelines using infrastructure-as-code tools like Terraform.</div></li><li><div>
Lead on&#8209;call rotations; drive root&#8209;cause analysis, observability improvements, and operational excellence</div></li></ul><div><br>
Required Qualifications:</div><ul><li>
BS or MS degree in Computer Science or a related field.</li><li><div>
7+ years of professional software development experience with focus on building RESTful APIs and AI/ML applications, in cloud environments, and containerized workloads (we use AWS)</div></li><li><div>
Proficiency in one or more programming languages such as Python (Preferred), Java, or Go</div></li><li><div>
Knowledge of professional software engineering practices including coding standards, code reviews, source control, build processes, testing, and operations</div></li><li><div>
Solid understanding of CS fundamentals: object-oriented design, algorithms, and problem-solving</div></li></ul><div></div><div>
Preferred Qualifications:</div><ul><li><div>
Experience developing front-end applications using modern JavaScript frameworks</div></li><li><div>
Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow)</div></li><li><div>
Experience with data streaming system (Kafka /Kinesis).</div></li></ul><div></div><div><br>
Compensation Range for:</div>
WA applicants is $177,567.00-$248,593.80<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.</div></li><li><div>
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Senior Software Engineer (AI/ML)

Rokt

<div>
 We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt's AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world's leading companies.
 <br/>
 <br/>
 We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue&mdash;and often all their profits&mdash;from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.
 <br/>
 <br/>
 At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible.
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 <br/>
 <strong>
  We are looking for a Software Engineer
  <br/>
  <br/>
 </strong>
 A fixed annual salary of $100,000 - $170,000, an employee equity plan grant, and world-class benefits.
 <br/>
 <br/>
 Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Join Rokt as a Software Engineer and become a driving force in building AI-powered products that shape the future of ecommerce. In this high-impact role, you'll leverage cutting-edge AI tools and a builder's mindset to develop scalable solutions used by millions of customers worldwide. If you're excited by the challenge of turning bold ideas into reality and pushing the boundaries of what's possible with AI, this opportunity is for you.
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  Requirements
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  What You'll Do
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 <ul>
  <li>
   Design &amp; Build Innovative Products: Develop and iterate on next-generation ecommerce features and services, using AI and machine learning to create intelligent, personalized experiences.
  </li>
  <li>
   Accelerate Development with AI: Leverage AI-driven tools and automation to speed up coding, testing, and deployment, allowing you to focus on creative problem-solving and quality.
  </li>
  <li>
   Full-Stack Product Ownership: Work across the entire product lifecycle&mdash;from ideation and prototyping to implementation and continuous improvement&mdash;ensuring each feature delivers real value.
  </li>
  <li>
   Collaborate &amp; Innovate: Partner with product managers, designers, and other engineers to conceptualize and implement AI-driven solutions that enhance user experience and drive business outcomes.
  </li>
  <li>
   Optimize &amp; Scale: Identify performance bottlenecks and opportunities for improvement in our systems. Use data insights to refine user interfaces, optimize algorithms, and ensure our platform can scale to billions of transactions.
  </li>
  <li>
   Drive Revenue Growth: Spearhead the development and deployment of innovative features and capabilities that directly drive growth of the business, with the potential to generate millions of dollars in additional revenue.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
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 <ul>
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   AI-Enthusiast &amp; Quick Learner: You embrace new technologies (like AI/ML frameworks) and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve.
  </li>
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   Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you're excited to solve.
  </li>
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   Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren't afraid to navigate ambiguity&mdash;figuring things out independently when needed.
  </li>
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   Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed.
  </li>
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   Driven &amp; Results-Oriented: You set high standards for your work, take pride in delivering quality, and continually seek to improve. You care about the impact of your code on the business and customers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Why Join Rokt
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that's pioneering how brands engage customers in the "moment that matters" during online transactions.
  </li>
  <li>
   Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly.
  </li>
  <li>
   Culture of Builders: Work with a smart, humble, and bold team that shares a "builder" DNA - we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment.
  </li>
  <li>
   Ownership &amp; Impact: Every Rokt'star (employee) has a voice and real equity in the company. You'll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users.
  </li>
  <li>
   World-Class Benefits &amp; Support: Join a people-first culture with transparent career paths, continuous development, and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Benefits
  <br/>
  <br/>
 </strong>
 We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:
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 <ul>
  <li>
   Become a shareholder. Every Rokt'star gets equity in the company
  </li>
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   Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
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   Extra leave (bonus annual leave, sabbatical leave etc.)
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   Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!
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  <li>
   Dog-friendly office
  </li>
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   Work with the greatest talent in town
  </li>
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   See the world! We have offices in New York, Seattle, Sydney, Tokyo and London
   <br/>
   <br/>
  </li>
 </ul>
 We believe we're better together. We love spending time together and are in the office most days (teams are in the office 4 days per week).
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 <br/>
 We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing &amp; keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 <br/>
 <br/>
 If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.
 <br/>
 <br/>
 Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.
</div>


Software Engineer

ALLEN INSTITUTE

<div><p><b><i>Technical Project Manager II - AI/ML
</i></b></p><p>The <b>mission of the Allen Institute</b> is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.</p>
<p>The mission of the <b>Office of the Chief Technology Officer (OCTO)</b> is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI.</p>
<p>We are seeking a <b>Technical Project Manager II</b> to join our team and accelerate our AI/ML ambitions at the Allen Institute. This includes two main functions (1) support cross-functional teams in the scientific planning, execution and delivery of AI/ML projects (2) driving technical infrastructure initiatives that streamline how Allen Institute researchers and technologists&rsquo; access and scale AI/ML computational needs across multiple clouds.</p>
<p>At the Allen Institute, we believe that science is for everyone &ndash; and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.</p>
<p>We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.</p>
<p>We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.</p>
<p><b>Essential Functions</b></p>
<ul><li><p>Lead the planning, execution, and tracking of complex, cross-functional AI/ML projects, acting as the team's central coordinator to improve velocity and remove roadblocks</p>
</li><li><p>Support the development of shared tools/components for model development and deployment</p>
</li><li><p>Support AI/ML infrastructure initiatives that streamline how teams access cost effective, elastic, scalable compute resources across multiple clouds</p>
</li></ul><ul><li><p>Own the training/documentation needed to onboard and support users of our centralized AI/ML infrastructure</p>
</li></ul><p>Note: Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This description reflects management&rsquo;s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.</p>
<p><b>Required Education and Experience</b></p>
<ul><li><p>Bachelor&rsquo;s Degree or equivalent combination of degree and experience</p>
</li></ul><ul><li><p>Minimum 1 year of experience as a technical project or program manager working on projects related to AI/ML and/or advanced computational methods</p>
</li></ul><ul><li><p>Familiarity with AI/ML workflows, cloud service providers (AWS, GCP, Azure), cloud infrastructure, and orchestration tools</p>
</li></ul><ul><li><p>Demonstrated ability to implement appropriate project management methodologies and tools based on requirements, ranging from small exploratory projects to large scale collaborations</p>
</li></ul><ul><li><p>Ability to synthesize technical input from multiple stakeholders and translate it into actionable roadmaps or milestones</p>
</li></ul><ul><li><p>Comfortable navigating ambiguity in early-stage exploratory efforts while maintaining a bias toward execution and outcome tracking</p>
</li></ul><ul><li><p>Familiarity with common AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), experiment tracking tools (e.g., Weights &amp; Biases, MLflow), and model deployment technologies</p>
</li><li><p>Proven ability to work collaboratively across diverse fields including computer science, research, and engineering teams</p>
</li><li><p>Proven ability to read, analyze, and create technical documentation</p>
</li></ul><p><b>Preferred Education and Experience</b></p>
<ul><li><p>2-4 years of experience as a technical project or program manager working on projects related to AI/ML and/or advanced computational methods</p>
</li></ul><ul><li><p>Ability to manage projects with significant technical uncertainty and with multiple stakeholders</p>
</li></ul><ul><li><p>Familiarity with biological or life sciences data and imaging technologies</p>
</li></ul><ul><li><p>Excellent written and verbal communication skills, including ability to communicate technical concepts to diverse audiences and ability to align stakeholders at multiple levels</p>
</li></ul><ul><li><p>Growth mindset, technical rigor and optimism about how computational algorithms can help accelerate biological research</p>
</li></ul><p><b>Physical Demands</b></p>
<ul><li><p>Fine motor movements in fingers/hands to operate computers and other office equipment</p>
</li></ul><p><b>Position Type/Expected Hours of Work</b></p>
<ul><li>This role is currently on-site. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.</li>
</ul>
<p><b>Travel</b></p>
<ul><li><p>Potential travel to national and international conferences</p>
</li></ul><p><b>Additional Comments</b></p>
<ul><li><p>**Please note, this opportunity offers relocation assistance**</p>
</li></ul><ul><li><p>**Please note, this opportunity offers work visa sponsorship**</p>
</li></ul><p><b>Annualized Salary Range</b></p>
<ul><li>$111,300 - $137,700</li></ul>
<ul><li>Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.</li></ul>
<p><b>Benefits</b></p>
<ul><li><p>Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute&rsquo;s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute&rsquo;s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute&rsquo;s benefits offering are located at the following link to the Benefits Guide:https://alleninstitute.org/careers/benefits.</p>
</li></ul><p><i>It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.</i></p></div>

Technical Project Manager II

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.<br>
<br>
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
Key job responsibilities<br>
As an experienced technology professional, you will be responsible for:<br>
<ul><li>Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs</li><li>Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services</li><li>Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies</li><li>Acting as a trusted advisor to customers on industry trends and emerging technologies</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul><br>
About the team<br>
About AWS:<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)</li><li>3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience</li><li>2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)</li><li>3+ years experience developing software code in one or more programming languages (java, python, etc.)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Masters or PhD degree in computer science, or related technical, math, or scientific field</li><li>Strong working knowledge of deep learning, machine learning and statistics</li><li>AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)</li><li>Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training</li><li>Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts</li><li>AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred</li><li>Knowledge of security and compliance standards (e.g., HIPAA, GDPR)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Delivery Consultant- GenAI/ML, AWS, Industries

Deloitte

<div>Technical AI Instructor and Forward-Deployed Engineer (Specialist Senior)<br>
<br>
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.<br>
<br>
Recruiting for this role ends on November 24, 2025<br>
<br>
<b>Work you'll do</b><br>
<br>
We are seeking a highly skilled and passionate individual to join our team as a Technical AI Instructor and Forward-Deployed Engineer. This role involves teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.<br>
<br>
In this role, you will help shape and lead early stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools. You'll additionally support our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.<br>
<br>
Key Responsibilities Include:<br>
<ul><li>
Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.</li><li>
Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.</li><li>
Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.</li><li>
Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.</li></ul><br>
The Team<br>
<br>
Deloitte's Advertising, Marketing &amp; Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.<br>
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Qualifications<br>
<br>
Required<br>
<ul><li>
2+ years experience in AI, machine learning, and/or data science.</li><li>
Experience with generative AI tools for software development, user experience, design, and product management.</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li><li>
Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve</li></ul><br>
Preferred<br>
<ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>
Knowledge of software development best practices and agile methodologies.</li><li>
Familiarity with product management and user experience design principles.</li><li>
Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.</li></ul><br>
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html<br>
<br>
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 $107,600 to $198,400.<br>
<br>
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.<br>
<br>
#Customer_US<br>
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#AMC_US</div>

Technical AI Instructor and Forward-Deployed Engineer (Specialist Senior)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world&rsquo;s largest companies. With nearly two decades of experience supporting hundreds of thousands of startups, including 80% of unicorns, we democratize cloud computing to help founders bring their innovative ideas to life.<br>
<br>
We're seeking an experienced Software Development Engineer who wants to change the way we help Startups get started and grow on AWS. We strive to bring new tools, features, and innovations to the Startup community. We are building applications that will use modern architectures, new services patterns, and exciting technologies to ensure we are meeting our customers expectations for performance, availability, and features.<br>
<br>
In this role, you&rsquo;ll be responsible for developing and productionizing software that is stable, performant and scalable. You will ensure that software is delivered on time, directly addresses needs and customer pain-points. With minimal guidance, you will prioritize the correct work, and focuses on solving complex, ambiguous problems in both existing and new software initiatives through the application of appropriate technologies and best practices. You will make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. Success in this role means implementing data-driven product improvements and designing intuitive, scalable solutions that enhance the startup customer experience.<br>
<br>
The ideal candidate holds high technical standards for the themselves and their teammates, helps their team evolve by actively participating in code reviews, mentorships, and design discussions. They constructively identify problems, bottlenecks, and weakness within the system and propose solutions. They demonstrate personal ownership over, or vocally advocates for, projects and software enhancements that improve team processes and products. They have experience working with AI/ML technologies, and a strong track record of launching successful products using data-driven decision-making skills.<br>
<br>
On the Startup Team, you'll play a crucial role in democratizing cloud technology for startups worldwide, working with AWS's comprehensive startup resources including AWS service credits, technical training, startup events, exclusive offers, and personalized growth plans. Join us in leveling the playing field for startup founders globally by creating products that make world-changing ideas possible.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, develop, and maintain scalable software solutions that meet business requirements and customer needs</li><li>Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies</li><li>Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations</li><li>Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams</li><li>Mentor junior engineers and contribute to improving team's technical practices</li><li>Write high-quality, well-tested code following best practices and coding standards</li><li>Participate in code reviews and contribute to technical documentation</li><li>Drive operational excellence through monitoring, troubleshooting, and continuous improvement</li></ul><br>
About the team<br>
About the team<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
Internal job description</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>3+ years of programming experience with at least one modern language such as Java, Python, C++, C#, Typescript including object-oriented design.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>1+ years of experience in AI/ML engineering, working on agent systems or LLM applications.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Dev Engineer II, Startup Team

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We tackle pressing challenges like workforce shortage. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party devices, seamlessly integrating with household names like Samsung, LG, and Sonos, thus amplifying its impact across diverse ecosystems.<br>
<br>
AE team is looking for a passionate, highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.
<br>
<br>
As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>You will analyze, understand and improve user experiences by leveraging Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence</li><li>You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases</li><li>Build and measure novel online &amp; offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints</li><li>Create, innovate, and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results</li><li>Perform model/data analysis and monitor metrics through online A/B testing</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Alexa Enterprise

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