Applied AI Solutions Architect

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

Artificial Intelligence • SaaS • Enterprise

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries. • Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format. • Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices. • Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients. • Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements. • Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.

🎯 Requirements

• 6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions, including recent hands-on experience building LLM-powered or agentic applications. • Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling • Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP) • Experience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps) • Hands-on experience in modern programming languages, such as Python, including developing APIs • Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production • Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations • Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality • Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries. • Experience delivering projects for external or internal clients in a professional services or consulting environment, ideally in a fixed-bid capacity. • Ability to break down ambiguous problems into structured, actionable steps and drive them through to completion. • Excellent written and verbal communication English., with experience presenting technical solutions to clients and facilitating discussions with both technical and business stakeholders. • Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India. • Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision. • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.

🏖️ Benefits

• Remote-First Workplace • Medical Insurance for Self & Family • Medical Insurance for Parents • Term Life & Personal Accident • Wellness Allowance • Broadband Reimbursement • Continuous learning and growth opportunities to enhance your skills and expertise • Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content