AI Solutions Architect (AI/ML Expertise min 4years required)

Position: AI Solutions Architect (AI/ML Expertise min 4years required)
Location: Denver, CO 
Duration: Long Term 
Interview: Internal Video Screening--> Client Webex Interview -->Final In person Interview with Client 

About R Systems: 
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.   We Are Great Place to Work  Certified  in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!   We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
 
Job Requirement:
 

• Our client is looking for an AI Coach. Someone that the team (PhD and DS staff) can come to for guidance on which model(s) should be used to start building a solution based on the business use case.
• They are looking for someone that is so experienced (20-30 models they have built), that they can recommend which models to use for the use case, because they have enough experience to say things like "GPT 3.0 and the Claud Model is better for this use case because of XYZ".
• The reason the client is looking for this role is to expedite the development process. Instead of trying to build something 4 times using 4 different models (trial by error), they are looking for a resource that can help the team shorten the development life cycle by starting them off in a better direction from the onset (build it 1-2 times vs. 4-5) to get to the end solution.
• Strong expertise in AI/ML, including deep learning, NLP, LLMs, and RAG - No less than 4 years
• Proven experience architecting and delivering end-to-end AI solutions in cloud environments Azure, AWS, Google Cloud Platform
• Able to define the right technical direction, architecture, and solution approach for enterprise AI initiatives
• Strong understanding of scalable AI design, integration, deployment, and operationalization:
• Excellent communication skills with the ability to guide both technical teams and business stakeholders
• Ideal profile is a strategic technical leader who can steer the team toward the right long-term AI/ML direction

  
Why Join R Systems?

• Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.

• Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.

• Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.

• Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.

• E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.

• Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits. 

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