Senior Enterprise Architect in Artificial Intelligence Job at Robert Half (Dallas)

Senior Vice President, Data & Analytics Engineering

BHSI is seeking a visionary leader to join their Boston based Technology team in...

Location

United States , Boston

Salary:

315000.00 - 365000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

At least 15 years of experience managing technology teams
Minimum of 5 years in data engineering leadership roles
Proven experience leading data engineering functions in complex, fast-paced environments, ideally within regulated industries such as insurance or financial services
Deep technical expertise in data architecture, data platforms (e.g., Snowflake, Databricks, Fabric), and cloud technologies (e.g., AWS, Azure, GCP), and data engineering best practices
Extensive knowledge of modern data frameworks, ETL/ELT, data modeling, and analytics enablement
Strong leadership, communication, and collaboration skills across engineering teams and business stakeholders
A passion for mentoring technical talent and fostering a high-performance culture
Ability to see the big picture and align data engineering with long-term business strategies and provide guidance and education on data capabilities
Expertise in systems thinking to optimize interdependencies across business units, platforms, and technologies
Experience implementing data governance, data quality, and master data management programs

Job Responsibility

Define and execute our data platform strategy, vision, and roadmap, aligning business and technology goals to support BHSI’s growth and operational excellence
Partner with technology and business functions to modernize our data ecosystem, influence data quality, and enable advanced analytics and Artificial Intelligence capabilities
Collaborate with Enterprise Architecture, Cybersecurity, and Infrastructure teams to ensure data platforms are secure, efficient, and compliant
Ensure our solutions are well-architected and engineered and deliver unified, scalable data platforms supporting structured, semi-structured, and unstructured data
Lead the evolution and modernization of aging data platforms, streamline data ingestion and transformation, and enable self-service business intelligence and analytics for business users
Drive adoption of cloud-native architectures, DevSecOps, and modern engineering practices in all data platforms and data solutions
Establish and enforce data engineering standards, governance, and best practices to ensure data integrity, security, and compliance
In partnership with key business stakeholders (e.g., Chief Data Officer, Data Stewards), champion data quality management, metadata, lineage, and master data management capabilities
Enable advanced analytics, machine learning, and AI capabilities through robust data engineering solutions and modern data platforms
Partner with business stakeholders to deliver actionable insights, dashboards, and visualizations that drive exceptional business outcomes

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

New

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solution Consultant, Agentic AI (Presales) based i...

Location

United States , Palo Alto

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , Palo Alto

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , New York

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , New York

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

Senior AI Site Reliability Engineer

At Schwab, you will build a rewarding career while making a difference in the li...

Location

United States , San Francisco

Salary:

190000.00 - 270000.00 USD / Year

Charles Schwab

Expiration Date

January 20, 2026

Requirements

8+ years of software development or reliability engineering experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations
Bachelor’s degree in Computer Science or related field
5+ years of experience building and operating complex products from scratch and running them in production
3+ years of experience supporting applications that use Artificial Intelligence (AI) models to deliver real business impact
3+ years of experience building and maintaining data pipelines and infrastructure for large datasets
3+ years of experience with containers and cloud-native applications, and the ability to operationalize them in the public cloud with infrastructure as code
Experience implementing monitoring, alerting, and incident response for large-scale distributed systems
Proven track record in driving reliability, scalability, and performance improvements for production AI systems

Job Responsibility

Design, implement, and manage the reliability and operational excellence of GenAI applications and platforms
Work closely with architects, engineers, and business leaders to align reliability practices with Schwab’s enterprise strategy
Mentor and coach junior engineers, helping to build strong operational practices and foster a culture of continuous improvement
Lead by example in solving complex reliability challenges, advancing SRE standards, and driving rapid iteration from concept to production

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Bonus or incentive opportunities

Fulltime

AI Engineer

At Schwab, you will build a rewarding career while making a difference in the li...

Location

United States , San Francisco

Salary:

103500.00 - 230000.00 USD / Year

Charles Schwab

Expiration Date

January 20, 2026

Requirements

5+ years of software development experience and 3+ years as a hands-on engineer in startups and/or large organizations
Bachelor's degree in Computer Science or related field
3+ years of experience building complex products from scratch and supporting them in production environments
1+ years of experience developing applications that use Artificial Intelligence (AI) models to deliver business impact
2+ years of experience working with applications or data pipelines that interface with large datasets
2+ years of experience with containers and cloud-native applications, with exposure to deploying them in the public cloud using infrastructure as code

Job Responsibility

Contribute to the design, development, and delivery of GenAI applications that enhance client experience and create business value
Collaborate with architects, engineers, and business leaders to ensure solutions align with Schwab’s enterprise strategy
Learn from senior engineers, participate in technical discussions, and help to build strong engineering practices while fostering a culture of continuous learning
Work on solving complex technical challenges, support best engineering standards, and help drive iterations from concept to production
Bring curiosity, creativity, and technical skill to help shape the next generation of AI at Schwab

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Bonus or incentive opportunities

Fulltime

Senior Data Scientist

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Dallas

Salary:

173400.00 - 234600.00 USD / Year

Boeing

Expiration Date

January 21, 2026

Requirements

5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space
5+ years of experience researching and applying large language and generative AI models
5+ years of experience with various machine learning methods such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, support vector machines (SVM), deep learning, reinforcement learning, etc.
5+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures

Job Responsibility

Evaluate business objectives, determine stakeholder needs, and identify requirements
Choose best fit methods, define algorithms, validate, and deploy models to achieve business results
Perform necessary data preparation and enhancements to models
Interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety
Work with data scientist leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base
Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally
Engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value
Evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization
Ensure analytics solutions meet the business requirements and are implemented in a timely manner to validate business value
Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation

What we offer

competitive base pay and variable compensation opportunities
health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work
relocation based on candidate eligibility
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly

Fulltime

Senior Enterprise Architect in Artificial Intelligence

Robert Half

Location:
United States , Dallas

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 16, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Enterprise Architect in Artificial Intelligence

Senior Vice President, Data & Analytics Engineering

Senior Solutions Consultant, Agentic AI

Senior Solutions Consultant, Agentic AI

Senior Solutions Consultant, Agentic AI

Senior Solutions Consultant, Agentic AI

Senior AI Site Reliability Engineer

AI Engineer

Senior Data Scientist

Senior Enterprise Architect in Artificial Intelligence

Robert Half

Location:United States , Dallas

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 16, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Enterprise Architect in Artificial Intelligence

Senior Vice President, Data & Analytics Engineering

Senior Solutions Consultant, Agentic AI

Senior Solutions Consultant, Agentic AI

Senior Solutions Consultant, Agentic AI

Senior Solutions Consultant, Agentic AI

Senior AI Site Reliability Engineer

AI Engineer

Senior Data Scientist

Location:
United States , Dallas

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
January 16, 2026