Top 10392 Implementation architect Jobs

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Developer Solution Architect, Incubation
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Sr. AI Architect

Impact Consulting Solutions, Inc. -
Remote

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Job Details

Full-time | Contract
$170,000 - $230,000 a year

Benefits

Dental insurance
401(k)

Qualifications

AI models
Software engineering
Managerial strategic planning
Data systems development
Requirements design
Tooling
Team leadership
Presentations for conferences or internal meetings
Software implementation
Data governance
Infrastructure architecture design
Production systems
Bachelor's degree
Model deployment
Data Security (Data management)
Requirements analysis
Developing large-scale AI models
Software documentation
Organizational skills
IT governance planning
Agile software development
Model training
System deployment
Cloud Architecture Design (Architecture design skills)
Data science
Systems analysis
Business requirements
Model evaluation
Machine learning frameworks
Data security architecture

Full Job Description

Job Title:

Sr./Principal AI Architect

Purpose:

The Senior AI Architect position requires a high degree of technical expertise in at least 2 relevant domains such as AI solution development, data science, security, cloud, integrations, Healthcare IT or similar. As a Senior AI Architect, you will be challenged with aligning the AI strategy with the business strategy of multiple projects and/or department initiatives. You will lead the creation of best practices, policies, procedures, and other applicable AI documentation. You will collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. You will align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations.

Work From Home Opportunity!!

Responsibilities:

The AI architect role spans the life cycle of AI solution development. The following paragraphs summarize the key responsibilities at each AI development stage.

Develop Business Case - The AI architect works with business stakeholders and business owners to develop the architecture needed and clearly define the outcomes and success metrics.
Data Discovery - The AI architect must work with information/data architects, analytics team members and data scientists to identify and make available the data required. In addition, the AI architect must be sensitive to the data’s privacy, security and compliance issues.
Model Selection- Depending on the business outcome sought, the AI solution development team will need to select the right foundation model to deliver the services needed. The AI architect will support the identification of the foundation model and ensure that it can address the needs of the business architecture.
Model Training and Testing-The AI architect must work with stakeholders from across the IT organization to ensure that the right environment and computing resources are available for training and testing. This extends to ensuring that the data needed for testing and training is made available to the development team. The AI architect also supports the development of a training and testing plan, as well as the analysis of results and opportunities for improvement.
Model Deployment- The AI architect will work with business and IT stakeholders to develop a roll-out plan for the AI solution.
Continuous Monitoring- The AI architect will support the development of the monitoring plan and participate in the governance model if needed.

Key Deliverables

· Enterprise AI Reference Architecture

· AI Platform Blueprint (Azure, Foundry, hybrid)

· AI Governance & Risk Framework

· Model & Agent Evaluation Framework

· AI Engineering Standards

· Multi‑Agent System Architecture

· Cost & Performance Optimization Strategy

· AI Solution Architecture for major initiatives

Qualifications -

· Bachelor's Degree in a related field with 10 years of relevant work experience OR 14 years total relevant work experience.

· Deep expertise in cloud architecture, data platforms, ML/AI systems, security, and governance

· Strong understanding of LLMs, embeddings, vector databases, RAG, fine‑tuning, agents, tooling, observability

· Ability to design enterprise‑scale architectures with high‑risk data (PHI, PII)

· Leadership experience influencing CIO/CDO‑level strategy

· Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI is a must.

· Translates business and technical requirements into an architectural blueprint to achieve business objectives; documents all AI solution architecture design and analysis work

· Supports the development and delivery of data strategy for AI solution training, testing and deployment

· Creates architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and information

· Leads evaluation, design and analysis for the implementation of an AI solutions architecture across a group of specific business applications or technologies, based on enterprise business strategies, business capabilities, value streams, business requirements and enterprise standards.

· Develops data management strategies for AI model development, training and deployment

· Articulates the business impact of AI solutions that translate technical performance into business success metrics

· Demonstrates a good understanding of product management, agile principles and development methodologies

· Deliver presentation skills to relevant stakeholders and technical audiences

· Demonstrates a broad background implementing different architectures to meet differing needs.

· Strong written and verbal communication skills and possesses good presentation skills.

· Demonstrated ability to direct the implementation of diverse technologies in a complex organization.

· Diplomacy and interpersonal skills to lead others to provide inputs for the purpose of sharing with customers, partners, and higher management on vision and need for key technologies.

· Experience in software development and coding in various languages (C#, python, .NET, Java etc.)

Preferred Experience:

· Healthcare IT experience preferred.

· Has an Healthcare Payers knowledge of business and processes

· Deliver presentations to senior-level executives

· Experience with such AI techniques as natural-language processing (NLP); computer vision; deep learning tools, such as PyTorch, TensorFlow and AI/ML; libraries, such as GitHub and Hugging Face

Pay: $170,000.00 - $230,000.00 per year

Benefits:

401(k)
Dental insurance

Work Location: Remote

Quick Apply

Refine Your Search

implementation architect jobs

Sr. AI Architect

Solution Architect

Sr. Solution Architect

Implementation Architect

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Servicenow Architect

SaaS Solutions Architect (Post Sales Implementation)

Data Architect

Blockchain Integration Architect

AWS Solution Architect

DevSecOps Architect

Snowflake Architect

Senior Architect

Landscape Architect

Dept. Lead - Senior Landscape Architect - Milwaukee, WI

Developer Solution Architect, Incubation

Lead Identity Access Management (IAM) Engineer/Architect

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