Lead Consultant (Applied AI Engineer) Full-time

Lead Consultant (Applied AI Engineer)

WHO WE ARE

Apex Systems is a leading global technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We provide a continuum of services, including strategy and enablement, innovation and productivity, and technology foundations to drive better results and bring more value to our clients. Apex transforms our customers with modern enterprise solutions tailored to the industries we serve. Apex has a presence in over 70 markets across North America, Europe, and India. Apex is a part of the Commercial Segment of ASGN Incorporated (NYSE: ASGN). To learn more, visit www.apexsystems.com .

At Apex Systems, we prioritize professional development, work-life balance, and fostering a collaborative culture. We value our teams well-being and recognize the importance of building strong relationships. Thats why we organize regular team-building events and philanthropic days to give back to the community – fostering a sense of purpose and fulfillment among our team.

Join us for career advancement, innovative solutions, and a supportive environment focused on your success.

JOB DESCRIPTION

• Apex is seeking a dynamic Senior Consultant with strong consultative skills to serve as an Applied AI Engineer.The role is hands-on and focused on building production-level solutions integrating AI technologies. As an Applied AI Engineer, you will focus on building solutions for internal and external customers, accelerating the adoption of AI while establishing and sharing best practices.
• Integrate AI solutions across various domains, focusing on real-world applications
• Incorporate various generative AI, prebuilt algorithms, and custom algorithms into a solution to achieve the best result, and be able to articulate the process, challenges overcome, and impacts with others
• Integrate AI models into broader enterprise applications, APIs and data workflows, leveraging established cloud services into solutions, focusing on efficiency, and understanding the pros and cons of build vs. buy options in a holistic architecture
• Conduct experiments and comparative analysis to evaluate model performance, use deep skills in prompt engineering for generative AI problems or collaborate with data scientists to iterate and improve results
• Leverage experience in data engineering, software development, generative AI, and LLMOPs/DevOps to implement end-to-end solutions that integrates insights and tools from the data science and data analytics teams
• Use skills and experience in deploying production-grade AI applications to optimize for latency, accuracy, and scale. Establish reusable patterns and share with technical solution leaders
• Stay updated on emerging AI techniques and best practices, ensuring continuous innovation in applied AI solutions
• Outstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients
• Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions

JOB REQUIREMENTS

• Bachelor’s degree in computer science, software engineering, data science or related technical field or comparable work experience, with significant experience on delivering AI-enabled applications
• 5+ years of hands-on technical experience with extensive background in AI-integrated application development
• 5+ years of experience with Python SDKs
• Strong knowledge of practical deployment of LLM/SLMs and tuning to reach and maintain production-grade quality thresholds
• Experience in orchestrating GenAI applications using frameworks such as LangChain, semantic kernal, or Assistants API
• Experience building RAG applications, including cloud search services such as Azure AI Search or AWS OpenSearch, moving beyond limitations of vector databases and OSS solutions for quality and enterprise scale
• Experience with AI speech-to-text, text-to-speech, translation projects strongly preferred
• Experience delivering these models in a cloud environment and experience working with cloud platforms (AWS a must, Azure and GCP nice to have)
• Experience in a team-based environment leading and mentoring other data scientists and AI engineers
• Willingness to perform limited periodic travel (for PI planning sessions, etc.)
• Outstanding written and verbal communication skills and a desire to share your work to make our customers and your peers better everyday

OUR AWESOME BENEFITS:

• Competitive Pay
• Health, Dental and Vision Insurance
• Vacation and Holiday Pay
• Team Building Events
• Partial Gym Membership Paid
• 401k Retirement Plan
• Training and Advancement opportunities
• Tuition Reimbursement
• Birthdays Off
• Philanthropic Opportunities
• Referral Program
• Long and Short-Term Disability
• Life Insurance

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated’s Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.