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Generative AI Engineer
3 months ago
As a Generative Artificial Intelligence (GenAI) engineer, you understand how to harness the power of emerging large language model (LLM) and GenAI tools to build solutions that enable clients to take advantage of their data and offer new solutions to customers.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit machine learning (ML) and GenAI algorithms and technologies.
You'll be part of a large community of ML and GenAI engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems: processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of LLM and ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define GenAI and ML strategy for our firm and our clients.Join us. The world can't wait.
You Have:
5+ years of experience with data science, ML engineering, data analytics, or AI
5+ years of experience with an object-oriented language
Experience with AWS or Azure cloud technologies
Experience with GenAI and LLM tools and frameworks
Experience with data science projects in NLP, generative AI, or deep learning focus
Experience with building data science and AI or ML solutions that support enterprise operational business and mission use cases
Experience with modern Cloud containerization computing te chn ologies and CI/CD, including Docker or Kubernetes
Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution
Ability to obtain a security clearance
Nice If
You Have:
Experience with
Python, C, or Java
Experience Huggingface, LangChain, AutoGPT, AgentGPT, or similar tools
Experience with GPU programming, including CUDA or RAPIDs
Experience with MLOps open source and Commercial Off the Shelf (COTS) products, such as MLFlow, Databricks, Domino, or SageMaker
Experience with addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions
Knowledge of the latest emerging LLM and GenAI tools and frameworks
Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders
Master's degree in Computer Science or Statistics
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Your growth matters to us—that's why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like
upskilling programs
, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity.
Booz Allen's culture of respect, equity, and opportunity
means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you'll build your community in no time.
Our
comprehensive benefits package
includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more.
With these benefits, plus the option for flexible schedules and remote and hybrid locations, we'll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate JourneyAt Booz Allen, we know our people are what propel us forward, and we value relationships most of all.
Here, we've compiled a list of resources
so you'll know what to expect as we forge a connection with you during your journey as a candidate with us.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.
Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.
Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
The projected compensation range for this position is $96,600.00 to $220, annualized USD).The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.
This posting will close within 90 days from the Posting Date.Generative AI Engineer
The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities.
As a Generative Artificial Intelligence (GenAI) engineer, you understand how to harness the power of emerging large language model (LLM) and GenAI tools to build solutions that enable clients to take advantage of their data and offer new solutions to customers.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit machine learning (ML) and GenAI algorithms and technologies.
You'll be part of a large community of ML and GenAI engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems: processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of LLM and ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define GenAI and ML strategy for our firm and our clients.Join us. The world can't wait.
You Have:
5+ years of experience with data science, ML engineering, data analytics, or AI
5+ years of experience with an object-oriented language
Experience with AWS or Azure cloud technologies
Experience with GenAI and LLM tools and frameworks
Experience with data science projects in NLP, generative AI, or deep learning focus
Experience with building data science and AI or ML solutions that support enterprise operational business and mission use cases
Experience with modern Cloud containerization computing te chn ologies and CI/CD, including Docker or Kubernetes
Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution
Ability to obtain a security clearance
Bachelor's degree
Nice If
You Have:
Experience with
Python, C, or Java
Experience Huggingface, LangChain, AutoGPT, AgentGPT, or similar tools
Experience with GPU programming, including CUDA or RAPIDs
Experience with MLOps open source and Commercial Off the Shelf (COTS) products, such as MLFlow, Databricks, Domino, or SageMaker
Experience deploying RAG architectures using open source LLMs
Experience with addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions
Knowledge of the latest emerging LLM and GenAI tools and frameworks
Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders
Secret clearance
Master's degree in Computer Science or Statistics
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that's why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like
upskilling programs
, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity.
Booz Allen's culture of respect, equity, and opportunity
means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you'll build your community in no time.
Support Your Well-Being
Our
comprehensive benefits package
includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more.
With these benefits, plus the option for flexible schedules and remote and hybrid locations, we'll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate JourneyAt Booz Allen, we know our people are what propel us forward, and we value relationships most of all.
Here, we've compiled a list of resources
so you'll know what to expect as we forge a connection with you during your journey as a candidate with us.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.
Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.
Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
The projected compensation range for this position is $96,600.00 to $220, annualized USD).The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.
This posting will close within 90 days from the Posting Date.Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
EEO CommitmentWe're an equal employment
opportunity/affirmative
action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
