8,461 Generative AI jobs in the United States
Generative AI
Posted 3 days ago
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•Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Generative AI Engineer
Posted today
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Our Client is looking to hire an AI/Gen AI Engineer/ Architect to join their growing team.
This is a full time role and not open to contract or C2C candidates.
AI/Gen AI Engineer / Architect
We are seeking a hands-on AI/Gen AI Engineer/Architect to join our global technology team. This role combines deep technical expertise with architectural design and engineering execution to deliver enterprise-scale AI solutions. You will play a key role in designing, building, and operationalizing advanced AI/ML and Generative AI systems that power next-generation digital products and services.
Key Responsibilities
- Design and engineer enterprise-scale AI/ML and Generative AI solutions, including machine learning models, LLMs, agentic AI, conversational AI, and cognitive services (vision, NLP, and speech).
- Prototype and build proof-of-concepts (PoCs), minimum viable products (MVPs), and production-ready AI applications.
- Fine-tune and optimize large language models (LLMs), train custom models, and evaluate performance metrics to ensure scalable, reliable deployments.
- Architect and integrate AI/ML pipelines into enterprise data and application ecosystems, leveraging cloud-native services (AWS, Azure, GCP).
- Perform hands-on data engineering : data exploration, cleansing, feature engineering, and pipeline automation for model training and inference.
- Evaluate and implement AI/ML platforms, frameworks, and tools; perform cost-benefit and ROI analysis to guide adoption.
- Collaborate with cross-functional teams (engineering, product, data science) to translate business problems into AI-powered solutions.
- Mentor and guide engineering and data teams in AI/ML best practices, deployment, and integration.
- Stay ahead of the curve by experimenting with cutting-edge AI research and applying emerging techniques (Generative AI, agent-based systems, reinforcement learning, multimodal models).
What We’re Looking For
- Strong technical foundation in AI/ML engineering and solution architecture.
- Passion for building production-grade AI systems and adopting emerging technologies.
- Ability to balance hands-on engineering with high-level architecture and solution design.
- Excellent communication skills, with the ability to present complex AI/ML concepts to technical and non-technical audiences.
- Proven track record of delivering scalable AI solutions in enterprise environments.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related STEM field (Master’s/MBA a plus).
- 5+ years of experience in AI/ML solution engineering, architecture, and implementation.
- 5+ years of hands-on experience with cloud platforms (AWS, Azure, or GCP) for data, analytics, and AI services.
- 3+ years with data science and ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
- Recent, hands-on expertise with Generative AI, LLMs, and Agentic AI .
- Strong understanding of data engineering, statistical methods, and ML lifecycle management (MLOps).
- Familiarity with cloud-native architecture (compute, networking, security) and enterprise integration patterns.
Generative AI Specialist
Posted 3 days ago
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Interview : Video
Visa : USC, GC, GC EAD, H4
This is hybrid from day-1
Description :
Position Overview:
Seeking a GenAI Platform Specialist to lead a strategic engagement focused on enabling enterprise-scale GenAI application development. The specialists will directly collaborate with technical teams to build robust GenAI platform capabilities, ensuring readiness at the application layer and maximizing ROI on GPU infrastructure.
The ideal candidate will possess both strategic architectural experience and hands-on implementation skills, with deep expertise in GenAI technologies, platform engineering, and developer enablement.
Required Qualifications:
- 7+ years of experience in enterprise software/platform engineering.
- Proven expertise in GenAI technologies (LLMs, transformers, vector DBs, etc.).
- Strong experience with cloud infrastructure and GPU resource optimization.
- Proficiency in Python and ML/LLM tooling (e.g., LangChain, HuggingFace, PyTorch).
- Deep understanding of MLOps, model evaluation, and compliance in AI.
- Experience building developer tooling and reusable code frameworks.
- Excellent communication skills and ability to work in highly collaborative environments.
- Experience in regulated industries (finance, healthcare, etc.).
- Familiarity with enterprise security and compliance controls for AI.
- Previous consulting or client-facing engineering experience.
Generative AI Training
Posted 3 days ago
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Kanshe Infotech - Houston, TX Kanshe Infotech is committed and noticed in the Information Technology industry as a company with exceptional talent and expertise in the area of software development and solutions.
The company is formed by a group of people with extensive industry experience and wide ranging domain expertise with a vision to create a cost effective, high value solution provisions comparable to the big consulting companies.
The mission of our company is to be an industry leader by offering innovative technology solutions that will give companies the edge to succeed in today's competitive environment.We work with large fortune 100 clients and are looking to add consultants to our team in the following technologies based on the career choice of the individual and also position with our clients.
Job Description
Job Description
Our Training Features:
• You will receive top quality instruction that is famous for Online IT training.
• Trainees will receive immediate response to any training related queries, either technical or otherwise. We advise our trainees not to wait till the next class to seek answers to any technical issue.
• Training sessions are conducted by real-time instructor with real-time examples.
• Every training session is recorded and posted to the batch after each weekend class.
• We are offering online training on Generative AI.
. Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension
- Help with OPT Employment letter: Help with drafting and obtaining OPT employment letters that meet USCIS requirements.
• We provide training in technology of your choice.
• Good online training virtual class room environment.
• Highly qualified and experienced trainers.
• Professional environment.
• Special interview training
• Training for skill enhancement.
• Study material and Lab material provided.
• E-Verified company.
If you are interested or if you know anyone looking for a change, please feel free to call or email me for details or questions. I look forward to seeing resumes from you or your known and highly recommended candidates.
Thanks
Qualifications
Additional Information
No
Generative AI Training
Posted 3 days ago
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We at Agap Technologies Inc. help our clients build successful businesses by enabling them to synergize state-of-the-art technology with exceptional talent. We offer a full suite of IT solutions and services, from custom software development to staffing. Our multidisciplinary team of experts in areas like data analysis, automation, personnel development and management, and project management helps us offer a unique set of tech-driven solutions and services that allow our clients to achieve their business objectives in the most efficient way possible.
Our technical competence is further built upon by our high standards of professionalism, diligence, and ethics, which has enabled us to deliver top-notch services to our clients and exceed expectations every time.
Job Description
Job Description
Our Training Features:
• You will receive top quality instruction that is famous for Online IT training.
• Trainees will receive immediate response to any training related queries, either technical or otherwise. We advise our trainees not to wait till the next class to seek answers to any technical issue.
• Training sessions are conducted by real-time instructor with real-time examples.
• Every training session is recorded and posted to the batch after each weekend class.
• We are offering online training on Generative AI training.
. Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension
- Help with OPT Employment letter: Help with drafting and obtaining OPT employment letters that meet USCIS requirements.
• We provide training in technology of your choice.
• Good online training virtual class room environment.
• Highly qualified and experienced trainers.
• Professional environment.
• Special interview training
• Training for skill enhancement.
• Study material and Lab material provided.
• E-Verified company.
If you are interested or if you know anyone looking for a change, please feel free to call or email me for details or questions. I look forward to seeing resumes from you or your known and highly recommended candidates.
Thanks
Director, Generative AI
Posted 15 days ago
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**Job Description**
We are inviting individuals with deep knowledge of machine learning and artificial intelligence with extensive experience in Generative AI to join us in the ShinrAI Center for AI/ML at Takeda, based in Cambridge, MA.
At the ShinrAI Center, we're a team of scientists, engineers, machine learning experts and more, working together to advance the application of artificial intelligence in developing innovative medicine for patients. We like to solve problems, take initiative, pitch in when needed, and enthusiastic for trying new things. We are looking for more curious thinkers who like to tackle challenging, real-world problems in a rewarding environment where your contributions are valued and have a direct impact.
We're building a diverse team whose skills, experiences, and backgrounds complement one another. Extensive experience working in Pharma or Biotech is optional. A strong curiosity for a deeper understanding of human health and disease to deliver innovative medicine for patients is a must.
**_ACCOUNTABILITIES:_**
+ Partners with data science teams, domain experts, and business units to identify and prioritize opportunities to leverage machine learning and particularly generative AI and agentic AI to drive decision making and automation across all levels of the R&D organization
+ Translate business needs into clearly scoped machine learning projects, and take a hands-on approach to steer solution design and implementation
+ Educate, demonstrate, guide, and enable the application of machine learning and particularly generative AI in various pharmaceutical R&D operations and scientific domains
+ Identify, monitor, and validate relevant external AI/ML developments, cultivate relationships with external domain experts and partners, and report and present emerging novel developments within the organization to further innovation and shape long-term strategy and governance.
+ Proactively build relationships across the company to inform your work and contribute to internal and external collaborations, through involvement in working groups, and the writing of insightful, engaging, and actionable opinion pieces that are easily digestible by internal decision makers and stakeholders.
+ Be the leading voice for building common capability and approaches and for adopting best practices
+ Work in collaboration with our Ethics and Governance teams to ensure our AI/ML applications are developed ethically and provide broad benefits to our patients and business
+ Help talented, driven, enthusiastic AI/ML engineers and data scientists across the company grow professionally
+ Measure, document, and communicate impacts of the Center's efforts
**_E_** **_DUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:_**
+ A track record of partnering cross-functionally with a wide range of stakeholders and cross-functional teams to develop and deploy novel data solutions in production environments
+ Demonstrated passion for making complex technology more accessible and the ability to communicate complex technical topics simply and convincingly to a wide range of audiences
+ Demonstrated ability in translating big picture business and product ideas into micro use cases and has a strong focus on solving core problems to deliver simple solutions
+ Experience recognizing and communicating the implications of emerging technologies
+ Excellent communication, prioritization, and interpersonal skills, with a high level of attention to detail
+ An advanced degree (M.S., PhD.) in mathematics, applied statistics, computer science, machine learning or similar. With 8+ years of experience architecting, building, launching, and maintaining end-to-end ML systems from whiteboard to production at scale across a range of models and platforms, such as: Experience building agentic and LLM based solutions. Experience in fine tuning large language models for domain specific applications. Experience in designing transfer learning strategy to enable learning from small datasets. Demonstrated ability and authoritative knowledge in a variety of AI/ML problems and domains, with depth in at least two (computer vision, natural language processing, geometric deep learning, timeseries, reinforcement learning, multimodal learning, etc.). Solid understanding of deep learning model architectures (C/RNN, attention/memory, autoregressive, etc.) and extensions (Transformer, LSTM, Autoencoders, etc.) as well as traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.) and their real-world advantages and drawbacks. Experience tuning, validating, optimizing, visualizing, and debugging these models in applied settings. Familiarity with ML Ops concepts related to testing, retraining, and monitoring models in production. Experience in delivering custom software solutions for complex R&D needs, leveraging both internal and external resources. Expertise in implementing DevOps practices to drive efficient development-to-operations transitions and ensure automation across workflows. Experience in configuring and working in different coding environments (local, notebooks, containers) and using standard software engineering workflows (testing, code management/Git, CI/CD)
+ An enthusiasm to ask questions and try and learn new things is essential
+ Entrepreneurial experience is desirable.
+ Experience in life sciences and healthcare and experience in a complex global organization is a plus
**Takeda Compensation and Benefits Summary**
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
**For Location:**
Boston, MA
**U.S. Base Salary Range:**
$174,500.00 - $274,230.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
**EEO Statement**
_Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law._
**Locations**
Boston, MA
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
**Job Exempt**
Yes
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Generative AI Strategist
Posted today
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Job Description
Embark on a transformative journey at the forefront of innovation as a Generative AI Strategist.
Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading sales initiatives to deliver tangible business value through cutting-edge generative AI solutions. If you possess a passion for innovation and a drive to revolutionize businesses through generative AI, we welcome you to be part of our dynamic team. Seize this opportunity to drive impactful change and lead businesses into a new era of technological advancement as a Generative AI Strategist.
Key Responsibilities:
Strategic Alignment:
- Facilitate alignment between the customer's technologists and business leaders to unleash the potential of generative AI and machine learning for driving business value.
- Develop comprehensive roadmaps to ensure the effective implementation of generative AI solutions.
Business Conceptualization:
- Engage in discussions about intricate industry-specific concepts with executives, line managers, and technologists to identify key opportunities for leveraging generative AI.
Collaborative Engagement:
- Work closely with various teams within the customer's organization, including applied scientists, solutions architects, business development, marketing, and industry specialists to foster collaboration and innovation.
- Build strong partnerships with regional organizations and external partners to amplify the impact of generative AI solutions.
Sales Leadership:
- Lead the strategic direction of large, complex sales opportunities from inception to successful closure and delivery.
- Drive vision building exercises and scoping sessions to ensure alignment with customer needs and expectations.
Workshop Facilitation:
- Conduct interactive workshop sessions with customers to identify potential areas for deploying generative AI and machine learning solutions.
- Collaborate with customers to define the scope of projects and articulate how generative AI can drive tangible business outcomes.
Qualifications:
- Proven experience in strategizing and implementing generative AI solutions in a business context.
- Strong communication skills to engage with stakeholders at all levels and effectively convey complex concepts.
- Expertise in collaborating with cross-functional teams and external partners to drive innovation and business growth.
- Demonstrated ability to lead sales processes for complex technological solutions.
- Proficiency in conducting workshops and facilitating productive discussions to drive actionable outcomes.
If you are passionate about leveraging generative AI to transform businesses and drive innovation, we invite you to join our dynamic team as a Generative AI Strategist.
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Generative AI Engineer
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Generative AI Engineer
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Generative AI Engineer
Posted 3 days ago
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Hiring: W2 Candidates Only