AI/ML Solutions Architect - LLM &MLOps

Artmac; Boston (MA); On-site; USD 100,000 - 160,000; Full time

Job summary

Join a forward-thinking technology consulting firm as an AI/ML Solutions Architect. This role offers the opportunity to design and implement cutting-edge AI and ML solutions, focusing on large language models and MLOps practices. You will work collaboratively with diverse teams to create scalable, secure, and efficient ML infrastructures using AWS services. With a strong emphasis on innovation, you will have the chance to lead projects that push the boundaries of technology, ensuring high-impact results. If you are passionate about AI and eager to shape the future of technology, this is the perfect opportunity for you.

Qualifications

• 6-10 years of experience in software engineering, focusing on distributed systems and databases.
• Proficiency in AWS and Python, with knowledge of modern programming languages.

Responsibilities

• Design and implement AI/ML solutions from data ingestion to model deployment.
• Monitor and refine production ML systems for performance and reliability.

Skills

Software Engineering

AWS

Python

MLOps

CI/CD Pipelines

Large Language Models

Prompt Engineering

Distributed Systems

Database Management (SQL/NoSQL)

React/Next.js

Education

Bachelor's Degree

Tools

AWS EC2

AWS S3

AWS Lambda

AWS SageMaker

AWS EKS

LangChain

AgentGPT

Job description

Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description
Job Title: AI/ML Solutions Architect – LLM & MLOps
Job Type: W2 / C2C
Experience: 6-10 Years
Location: Boston, Massachusetts

Responsibilities

• Experience: 5+ years of professional software engineering experience, including distributed systems and databases.
• Required: AWS (or other major cloud provider) with hands-on experience in deploying, monitoring, and scaling production services.
• Python (preferred) and proficiency in at least one other modern programming language (e.g., Go, Java, Rust).
• Strong understanding of MLOps concepts, CI/CD pipelines, and containerization.
• Design & Implement AI/ML Solutions to architect and develop end-to-end ML solutions from data ingestion to model deployment, including LLM-based applications.
• Evaluate and select appropriate frameworks, libraries, and tools to meet both short-term project goals and long-term scalability.
• LLM & Prompt Engineering: Develop and optimize prompts for Large Language Models (e.g., OpenAI/Claude/Llama) to improve the quality and relevance of outputs.
• Conduct experiments to evaluate LLM performance and apply prompt engineering best practices to ensure high-impact results.
• Incorporate AI agent frameworks (e.g., LangChain, AgentGPT, or similar) to enable autonomous or semi-autonomous decision-making within applications. Integrate AI agents with existing systems, ensuring robust communication and secure data handling.
• Set up and optimize CI/CD pipelines for ML models, ensuring continuous integration, testing, and deployment.
• Monitor, troubleshoot, and refine production ML systems for performance, cost efficiency, and reliability.
• Leverage AWS services (e.g., EC2, S3, Lambda, SageMaker, EKS) to design and maintain scalable, secure, and cost-efficient ML infrastructure.
• Write clean, maintainable, and well-documented code in Python and other modern languages (e.g., Go, Java, or Rust). Develop and maintain distributed systems, focusing on reliability, fault tolerance, and performance.
• Work with databases (SQL/NoSQL) to handle large-scale data processing and storage.
• Collaborate on front-end projects using React/Next.js to build user interfaces or internal tools that interact with AI/ML services.
• Work closely with product managers, data scientists, DevOps engineers, and other stakeholders to define requirements and deliver high-impact solutions.
• Communicate technical decisions effectively, balancing trade-offs between short-term needs and long-term product vision.
• Operate with minimal supervision, proactively identifying issues and taking ownership to drive solutions.
• Manage multiple priorities in a fast-paced environment, and effectively escalate blockers to ensure timely delivery.
• Stay updated with emerging AI/ML technologies, LLM advancements, and best practices, sharing insights with the team.
• Adapt quickly to new domains, frameworks, and technologies as the project needs to evolve.

Qualification

• Bachelor's degree or equivalent combination of education and experience.

Seniority Level: Mid-Senior level

Employment Type: Contract

Job Function: Engineering and Information Technology

Industries: Software Development