Job Description
Job Description
We're seeking a seasoned AI/ML professional with deep expertise in Google Cloud Platform (GCP), Vertex AI, and AgentSpace to lead pre-sales engagements and deliver cutting-edge cloud-native solutions. This role combines technical leadership, client-facing consulting, and hands-on development across AI, ML, and MLOps.
Our Cloud Infrastructure & API Management team helps the world's leading brands modernize infrastructure, applications, and integrations to thrive in today's digital economy. We deliver cloud-native development, app modernization, API management, and DevOps solutions, enabling clients to maximize cloud investments, streamline processes, and drive innovation across the enterprise. Join a team that's harnessing the power of AI to build intelligent, self-optimizing cloud environments-leveraging predictive analytics, generative tools, and automation to create smarter, more resilient digital ecosystems.
Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.
RESPONSIBILITIES Pre-Sales & Strategy - Act as a subject matter expert on GCP AI services, tools, and best practices.
- Support RFPs and lead technical discussions with clients.
- Collaborate with sales to qualify opportunities and shape cloud strategy.
- Recommend GCP solutions and design cloud architectures aligned with standards.
- Develop innovative service offerings and contribute to technical community representation.
Machine Learning Development - Enhance existing ML modules and design new approaches.
- Stay current with AI/ML research and apply insights to business problems.
Data Engineering & Pipelines - Build scalable ML pipelines using Vertex AI, BigQuery, and other GCP tools.
- Develop reusable code for data preprocessing, feature engineering, and model training.
Responsible AI - Ensure fairness and ethical considerations in model development.
- Collaborate cross-functionally to support long-term success.
Infrastructure & MLOps - Manage cloud resources using infrastructure as code.
- Implement CI/CD and monitor ML solutions via Vertex AI pipelines.
Documentation - Create technical specifications and maintain clear documentation.
QUALIFICATIONS - 7–10 years of professional experience; 5+ years in Deep Learning.
- Hands-on experience with Google Cloud AI, Gemini, Vertex AI, BigQuery.
- Experience with AgentSpace preferred.
- Google GenAI L400 certification strongly preferred.
- Strong communication skills to explain complex AI/ML and GenAI concepts to business leaders.
- Proven ability to use AI tools to enhance productivity and workflows.
- Familiarity with AI-enhanced platforms and ethical AI practices.
Technical Expertise: - Deep Learning frameworks and neural architectures (CNNs, RNNs, Transformers).
- NLP techniques and multimodal language modeling.
- Reinforcement learning and traditional ML algorithms.
- Data preprocessing, model training, tuning, and deployment (Docker, Kubernetes).
- Generative AI and LLMs for automotive applications.
- Cloud computing on GCP.
- Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
- Familiarity with AI-enhanced platforms is a plus.
- A solid understanding of AI capabilities and limitations including ethical considerations is expected
Desired Skills: - Awareness of AI ethics, bias mitigation, and fairness.
- Understanding of AI-related legal and regulatory issues.
- Proficiency in data management systems (databases, data lakes).
The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $92,118 to $202,730. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.
WHO WE ARE Perficient is the global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world's most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what's possible - while building a career filled with growth, balance, and purpose.
WHAT WE BELIEVE At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special.
We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders... and we're not done yet.
Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.
Applications will be accepted until the position is filled or the posting removed.
Disability Accommodations:
Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. #LI-AB1 #LI-GCP #LI-AI #LI-Vertex
ABOUT US Perficient is always looking for the best and brightest talent and we need you! We're a quickly growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues.
Job Tags
Work at office, Local area,