Digital Architect Intern

4 weeks ago


Portland OR, United States Enfycon Inc. Full time

AI Architect / Consultant - 2 Positions

Portland, OR 97229 (Onsite/Hybrid)


Onsite - FIRST Priority / Hybrid - Second / REMOTE



AI Architect/Consultant, will design, develop, test, deploy, and support software solutions across the whole stack in the Intelligent Process Automation area. This role helps in shaping our AI strategy and showcasing the potential of AI through early-stage solutions. Expertise in using Deep Learning, NLP, GenAI and Chatbots to help promote business outcomes and drive innovation. Possesses a strong foundation in Computer Science and extensive expertise in programming languages such as Python, JavaScript, and a deep understanding of Artificial Intelligence.



Demonstrate strong problem-solving abilities to architect, design, and implement AI-driven solutions
Analyse, design, build and implement Microservice-based solutions using Modern frameworks and Cloud technologies
Conduct research and development processes for AI strategies; Build technology stack for AI/ML use cases from concept to production deployment
Collaborate with cross-functional teams to identify areas where AI applications can stimulate business growth
Create Generative AI pipelines & technology stack e.g., Orchestration, Prompt engineering, Fine Tuning, etc.
Deploy AI/ML models into production and build API layer for application integration
Ability to work with large datasets and derive meaningful insights; Collaborate with other members of the team, in an Agile environment
Participate in the technical design of the solution and ensure the prescribed architecture, development best practices, security standards are adhered to
Stay current with industry trends, conduct assessments, and provide recommendations for innovative technology solutions

Able to communicate effectively, build relationships, and influence outcomes in a cross-functional, matrixed organization
A proactive driver of continuous improvement opportunities across business processes and system solutions
A relentless, versatile learner who is open to and embraces change, in an endeavour to enhance adoption of system solutions
Able to persevere and overcome resistance or setbacks while pursuing innovation and Team goals with energy & drive
Collaborative and knowledge sharing with a knack for stakeholder engagement



Skills & Experience

12 years of experience in implementing IT, Enterprise Projects IT; 3+ years of experience in strategizing and developing Artificial Intelligence (AI) solutions
Strong proficiency in Python and its libraries for AI, Machine Learning, and Data manipulation
Extensive experience in building RESTful APIs using design principles, including versioning, error handling, and pagination
Experience in Generative AI stack - Large Language Models / Foundation Models, Vector databases e.g., Pinecone, Chroma, Orchestration stack
Hands on experience in building AI orchestration with frameworks like LangChain
Strong understanding of Cloud Data & AI stack on Azure / AWS; Understanding of data processing frameworks e.g., Data Bricks, Airflow etc.
Proficiency in JavaScript, including experience with React JS and NodeJS, Solid understanding of AI concepts, algorithms, and methodologies
Solid knowledge of databases, such as MongoDB, MySQL, or PostgreSQL, and proficiency in writing efficient queries
Experience with authentication and authorization protocols (e.g., OAuth, JWT) and securing APIs
Strong understanding of Microservices architecture and familiarity with related technologies (e.g., Docker, Kubernetes)
Familiarity with API management platforms and tools (e.g., Azure API Management, AWS API Gateway)
Excellent problem-solving and analytical skills, with the ability to troubleshoot and debug complex API issues
Knowledge of serverless architecture and experience with serverless computing platforms/services (e.g., Azure Functions, AWS Lambda)
Passion for technology and a strong ambition to excel in the field of AI
Bachelor’s or higher degree in Computer Science, Computer Engineering, or related fields



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