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ai systems automation strategist

Savvital

<div>
 
 
 Role Overview
 
 
 
 As the AI Systems &amp; Automation Strategist, you will be the primary architect of Savvital&rsquo;s internal "operating system." This is a high-impact, "builder" role focused on transforming a modern legal services company into a scalable, AI-powered organization. You will design, build, and deploy automated workflows that directly enhance client experience, attorney productivity, and firm growth.
 
 
 
 
 
 
 Essential Functions
 
 
 <ul>
 <li>
 
 System Architecture:
 
 Design, build, and deploy AI-driven systems rapidly across the Actionstep (CRM), Microsoft 365, and QuickBooks ecosystems.
 </li>
 <li>
 
 Operational Transformation:
 
 Identify and eliminate inefficiencies by designing end-to-end workflows (Intake &rarr; Drafting &rarr; Signing &rarr; Funding).
 </li>
 <li>
 
 Technical Integration:
 
 Utilize APIs, low-code/no-code tools (Zapier, Make), and custom scripting to connect disparate platforms.
 </li>
 <li>
 
 AI Governance:
 
 Implement human-in-the-loop validation systems to ensure legal accuracy, compliance, and ethical standards while reducing AI hallucinations.
 </li>
 <li>
 
 Data Leadership:
 
 Develop real-time dashboards for leadership to track KPIs such as revenue, conversion likelihood, and marketing ROI.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Partner with attorneys, paralegals, and marketing teams to translate operational needs into technical solutions.
 </li>
 </ul>
 
 
 
 
 
 Key Focus Areas (First 6&ndash;12 Months)
 
 
 <ul>
 <li>
 
 Trust Funding Automation:
 
 Build and integrate scalable funding workflows to reduce backlogs.
 </li>
 <li>
 
 AI Recommendation Engine:
 
 Analyze client inputs to generate structured plan recommendations.
 </li>
 <li>
 
 Drafting Acceleration:
 
 Develop AI-assisted tools integrated with Wealth Docx to speed up document production.
 </li>
 <li>
 
 Marketing Engine:
 
 Deploy AI-driven content generation and campaign analytics.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 
 
 Core Technical Skills
 
 
 <ul>
 <li>
 
 AI Proficiency:
 
 Strong experience with LLM platforms (ChatGPT, Claude, Gemini).
 </li>
 <li>
 
 Automation Mastery:
 
 Expert-level use of Zapier, Make, and API integrations.
 </li>
 <li>
 
 Data Visualization:
 
 Experience building dashboards in Power BI, Tableau, or similar tools.
 </li>
 <li>
 
 Programming:
 
 Python experience is highly preferred.
 </li>
 </ul>
 
 
 Vibe Coding &amp; AI Skills (Critical)
 
 
 <ul>
 <li>
 Advanced prompt engineering and AI-assisted rapid prototyping.
 </li>
 <li>
 Ability to validate, refine, and productionize AI-generated code.
 </li>
 <li>
 Experience orchestrating multiple AI tools into a cohesive system.
 </li>
 </ul>
 
 
 Business &amp; Operational Skills
 
 
 <ul>
 <li>
 Systems thinking and process mapping.
 </li>
 <li>
 Strong analytical ability with a focus on "Builder" execution over theory.
 </li>
 <li>
 Ability to communicate complex technical concepts to non-technical legal teams.
 </li>
 </ul>
 
 
 
 
 
 Experience &amp; Education
 
 
 <ul>
 <li>
 
 Required:
 
 3&ndash;5+ years in AI development, automation, or systems engineering.
 </li>
 <li>
 
 Required:
 
 Proven track record of building and integrating AI-driven business solutions.
 </li>
 <li>
 
 Preferred:
 
 Experience in LegalTech, FinTech, or professional services.
 </li>
 <li>
 
 Preferred:
 
 Familiarity with Actionstep, Wealth Docx, or similar legal platforms.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience building AI systems.
 </li>
 </ul>
 
 
 
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 
 Operational Impact:
 
 30&ndash;60% reduction in manual processing time.
 </li>
 <li>
 
 Execution Speed:
 
 Velocity from initial idea to a working prototype.
 </li>
 <li>
 
 Financial Performance:
 
 Cost savings from automation and increased revenue per case.
 </li>
 <li>
 
 Quality &amp; Adoption:
 
 Internal staff adoption rates and reduction in rework/errors.
 </li>
 </ul>
 
 
 
 
 
 Why Join Savvital?
 
 
 <ul>
 <li>
 
 People-First Culture:
 
 We prioritize professional growth and value the unique experience you bring.
 </li>
 <li>
 
 Innovation-Driven:
 
 Be at the forefront of AI adoption in the legal industry.
 </li>
 <li>
 
 Impact:
 
 Build systems that enable the firm to serve more families efficiently and redefine legal service delivery.
 </li>
 </ul>
 
 
 
 
 
 Note to Candidates:
 
 This role requires a high degree of comfort with ambiguity and rapid iteration. We are looking for an internal AI strategist and technical advisor who is obsessed with improving systems and outcomes.
 
 
 
 
 
 
 COMPENSATION &amp; BENEFITS
 
 
 <ul>
 <li>
 
 Base Salary:
 
 Market Competitive.
 </li>
 <li>
 
 Utility Support:
 
 Monthly allowances for Internet, Electricity, and Wellbeing.
 </li>
 <li>
 
 Health:
 
 Comprehensive Medical Insurance coverage.
 </li>
 <li>
 
 Bonuses:
 
 Performance-based bonuses, annual growth increments, and company-wide success sharing.
 </li>
 </ul>
 
 
 
 
 
 &ldquo;Our motto from our inception has been to put our employees first! We value the uniqueness and experience each individual brings to the organization.&rdquo;
 
 
 
 
 
 
 
 You can send your CVs to recruitment@savvital.us.
 
 
 
 
</div>

AI Systems & Automation Strategist

<div><h3 class="jobSectionHeader">Role Overview</h3>
As the AI Systems &amp; Automation Strategist, you will be the primary architect of Savvital's internal &quot;operating system.&quot; This is a high-impact, &quot;builder&quot; role focused on transforming a modern legal services company into a scalable, AI-powered organization. You will design, build, and deploy automated workflows that directly enhance client experience, attorney productivity, and firm growth.
<h3 class="jobSectionHeader">Essential Functions</h3>
<ul><li>System Architecture: Design, build, and deploy AI-driven systems rapidly across the Actionstep (CRM), Microsoft 365, and QuickBooks ecosystems.</li><li>
Operational Transformation: Identify and eliminate inefficiencies by designing end-to-end workflows (Intake Drafting Signing Funding).</li><li>
Technical Integration: Utilize APIs, low-code/no-code tools (Zapier, Make), and custom scripting to connect disparate platforms.</li><li>
AI Governance: Implement human-in-the-loop validation systems to ensure legal accuracy, compliance, and ethical standards while reducing AI hallucinations.</li><li>
Data Leadership: Develop real-time dashboards for leadership to track KPIs such as revenue, conversion likelihood, and marketing ROI.</li><li>
Cross-Functional Collaboration: Partner with attorneys, paralegals, and marketing teams to translate operational needs into technical solutions.</li></ul>
<h3 class="jobSectionHeader">Key Focus Areas (First 6&ndash;12 Months)</h3>
<ul><li>Trust Funding Automation: Build and integrate scalable funding workflows to reduce backlogs.</li><li>
AI Recommendation Engine: Analyze client inputs to generate structured plan recommendations.</li><li>
Drafting Acceleration: Develop AI-assisted tools integrated with Wealth Docx to speed up document production.</li><li>
Marketing Engine: Deploy AI-driven content generation and campaign analytics.</li></ul>
<h3 class="jobSectionHeader">Skills &amp; Competencies</h3>
<h4 class="jobSectionHeader">Core Technical Skills</h4>
<ul><li>AI Proficiency: Strong experience with LLM platforms (ChatGPT, Claude, Gemini).</li><li>
Automation Mastery: Expert-level use of Zapier, Make, and API integrations.</li><li>
Data Visualization: Experience building dashboards in Power BI, Tableau, or similar tools.</li><li>
Programming: Python experience is highly preferred.</li></ul>
<h4 class="jobSectionHeader">Vibe Coding &amp; AI Skills (Critical)</h4>
<ul><li>Advanced prompt engineering and AI-assisted rapid prototyping.</li><li>
Ability to validate, refine, and productionize AI-generated code.</li><li>
Experience orchestrating multiple AI tools into a cohesive system.</li></ul>
<h4 class="jobSectionHeader">Business &amp; Operational Skills</h4>
<ul><li>Systems thinking and process mapping.</li><li>
Strong analytical ability with a focus on &quot;Builder&quot; execution over theory.</li><li>
Ability to communicate complex technical concepts to non-technical legal teams.</li></ul>
<h3 class="jobSectionHeader">Experience &amp; Education</h3>
<ul><li>Required: 3&ndash;5+ years in AI development, automation, or systems engineering.</li><li>
Required: Proven track record of building and integrating AI-driven business solutions.</li><li>
Preferred: Experience in LegalTech, FinTech, or professional services.</li><li>
Preferred: Familiarity with Actionstep, Wealth Docx, or similar legal platforms.</li><li>
Education: Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience building AI systems.</li></ul>
<h3 class="jobSectionHeader">Key Performance Indicators (KPIs)</h3>
<ul><li>Operational Impact: 30&ndash;60% reduction in manual processing time.</li><li>
Execution Speed: Velocity from initial idea to a working prototype.</li><li>
Financial Performance: Cost savings from automation and increased revenue per case.</li><li>
Quality &amp; Adoption: Internal staff adoption rates and reduction in rework/errors.</li></ul>
<h3 class="jobSectionHeader">Why Join Savvital?</h3>
<ul><li>People-First Culture: We prioritize professional growth and value the unique experience you bring.</li><li>
Innovation-Driven: Be at the forefront of AI adoption in the legal industry.</li><li>
Impact: Build systems that enable the firm to serve more families efficiently and redefine legal service delivery.</li></ul>
Note to Candidates: This role requires a high degree of comfort with ambiguity and rapid iteration. We are looking for an internal AI strategist and technical advisor who is obsessed with improving systems and outcomes.</div>

Builder Lead Converter

<div>Builder Lead Converter

AI Agent Specialist 
Builder Lead Converter is hiring an AI Agent Specialist to design, build, and maintain intelligent AI agents that automate workflows, integrate with our tech stack, and drive real business impact for our internal teams and clients. 
This role sits at the intersection of AI, automation, and systems thinking. You'll work with LLMs, APIs, and automation platforms to deploy AI agents that go far beyond basic chatbots-supporting operations, marketing, customer support, and internal efficiency at scale. 
If you enjoy turning complex, messy processes into clean, automated systems-and want your work to directly impact growing businesses-this role is for you. 
About Builder Lead Converter

Builder Lead Converter (BLC) is a marketing and technology agency serving home builders, remodelers, and construction-focused businesses across the U.S. We specialize in high-performance websites, automation, CRM systems, analytics, and scalable operational processes.

We're known for:
<ul>
<li>Strong technical execution</li>
<li>Clear systems and SOPs</li>
<li>Deep understanding of builder and contractor workflows</li>
<li>A culture that values ownership, documentation, and continuous improvement</li>
</ul>
As we continue to expand our use of AI internally and across client systems, we're investing in this role to help us build production-ready AI agents that create measurable efficiency and value. 
Full Job Description

About the Role

As an AI Agent Specialist, you'll be responsible for creating and managing AI-powered agents that support internal operations, marketing workflows, CRM processes, and customer-facing systems.

You'll collaborate closely with leadership, developers, and non-technical stakeholders to:
<ul>
<li>Identify automation opportunities</li>
<li>Design AI agent logic and workflows</li>
<li>Deploy, test, document, and improve intelligent systems over time</li>
</ul>
This is a hands-on builder role, not a research or purely theoretical position. 
What You'll Do
<ul>
<li>Design and deploy AI agents using LLMs (e.g., OpenAI, Anthropic, etc.)</li>
<li>Build multi-step agent workflows (decision-making, memory, tool usage)</li>
<li>Integrate AI agents with platforms such as:</li>
<li>CRMs (including Go High Level)</li>
<li>WordPress and web applications</li>
<li>Marketing and analytics tools</li>
<li>Internal dashboards and systems</li>
<li>Create automations using tools like:</li>
<li>Zapier, Make, n8n, or similar</li>
<li>Custom API integrations</li>
<li>Implement prompt frameworks, guardrails, and evaluation logic</li>
<li>Optimize AI agents for:</li>
<li>Accuracy</li>
<li>Cost efficiency</li>
<li>Reliability in real-world use</li>
<li>Document systems and contribute to internal SOPs</li>
<li>Monitor performance and iterate based on feedback and results</li></ul> 


Required Skills &amp; Experience
<ul>
<li>Strong understanding of LLMs and prompt engineering</li>
<li>Experience building or deploying AI agents or advanced automations</li>
<li>Comfortable working with APIs, JSON, and structured data</li>
<li>Experience with at least one automation platform (Make, Zapier, n8n, etc.)</li>
<li>Strong systems thinker who can break down complex workflows into logic</li>
<li>Ability to explain technical concepts to non-technical stakeholders</li>
<li>Organized, detail-oriented, and documentation-driven</li></ul> 


Nice-to-Have (Not Required)
<ul>
<li>Experience with:</li>
<li>LangChain, OpenAI Assistants, or similar frameworks</li>
<li>Vector databases and embeddings</li>
<li>WordPress or headless CMS environments</li>
<li>CRM platforms beyond Go High Level</li>
<li>Basic JavaScript or Python</li>
<li>Experience deploying AI in real business environments, not just demos</li></ul> 


Work Schedule &amp; Availability
<ul>
<li>Core office hours: 8:00 AM - 5:00 PM CST, Monday-Friday</li>
<li>We offer flexibility to start up to 4 hours earlier in the day</li>
<li>This is a remote position, but collaboration during shared business hours is important</li></ul> 


Compensation &amp; Benefits
<ul>
<li>Competitive base salary: $1,500 to $2,000</li>
<li>Paid Time Off (PTO)</li>
<li>Floating holidays</li>
<li>Opportunity to earn quarterly performance bonuses</li>
<li>Profit sharing eligibility after 3 years of service</li>
<li>Work with modern, evolving tech systems and a team that values smart automation</li></ul> 


Our Tech Stack (Includes but Not Limited To)
<ul>
<li>Go High Level</li>
<li>WordPress</li>
<li>Jira</li>
<li>Trello</li>
<li>Automation platforms (Zapier, Make, n8n, etc.)</li>
<li>Analytics, marketing, and CRM tools</li></ul> 


What Success Looks Like
<ul>
<li>AI agents are reliable, maintainable, and trusted by the team</li>
<li>Automations reduce manual effort and improve consistency</li>
<li>Systems are clearly documented and easy to extend</li>
<li>You proactively identify opportunities to improve workflows using AI</li></ul> 


How to Apply

Please send:
<ul>
<li>A brief overview of your experience with AI agents or automation</li>
<li>Examples of systems you've built (Looms, screenshots, GitHub, or descriptions)</li>
<li>Optional: your favorite tools or frameworks and why you like them</li></ul></div>

AI Agent Specialist

Datamatics Technologies

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Remote, Full-time
 
 
 
 Role Overview
 
 
 As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients&mdash;owning work from requirements discovery through prototype and production deployment. You&rsquo;ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
 
 
 This is a mid-to-senior individual contributor role. You&rsquo;ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design &amp; Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
 </li>
 <li>
 Build Workflows &amp; Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems
 </li>
 <li>
 Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
 </li>
 <li>
 Retrieval &amp; Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
 </li>
 <li>
 Prototype &rarr; Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
 </li>
 <li>
 Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
 </li>
 <li>
 Ongoing Support &amp; Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
 </li>
 <li>
 Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
 </li>
 <li>
 Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed
 
 
 </li>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)
 </li>
 <li>
 Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows
 </li>
 <li>
 Deliveries are production-ready: monitored, testable, documented, and maintainable
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of software or AI engineering experience (mid-to-senior)
 </li>
 <li>
 2&ndash;3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
 </li>
 <li>
 Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
 </li>
 <li>
 Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices
 </li>
 <li>
 Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
 </li>
 <li>
 Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
 </li>
 <li>
 Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)
 </li>
 <li>
 Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
 </li>
 <li>
 Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management
 </li>
 <li>
 Experience with graph databases / knowledge graphs
 </li>
 <li>
 Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
 </li>
 <li>
 Prior consulting experience or work in fast-paced startup environments
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
 DXag1oObkj
</div>

Applied AI Engineer (Automation)

CXAi

<div>CXAi is a digitally powered, human delivered Global Customer Experience Management organization with multiple locations in Canada and abroad. We provide a wide range of business solutions to help businesses thrive. We are sought-after solutions partner for Omni Channel CX, Digital Transformation, Consulting and Technology solutions.
Our mission is to deliver elevated customer experiences to our clients, leveraging deep operational knowledge and process expertise, a strong and versatile technology stack, and a diverse geographic footprint. We focus on engaging early with our clients and leverage a consultative approach to deeply understand our clients&rsquo; brands, and design customized solutions to complex customer challenges.
Job Description
We are seeking a forward-thinking leader to drive enterprise-wide automation through Agentic AI systems, leveraging advanced Large Language Models (LLMs), Machine Learning (ML), and platforms such as Claude.
This role will be responsible for designing, implementing, and scaling AI-driven solutions across all departments&mdash;transforming how work gets done through intelligent automation, augmentation, and decisioning.
This role sits at the core of our transformation &ndash; bringing together LLMs, ML and Agentic AI to redefine how work is done. You will enable a future where AI augments human capability, strengthens customer relationships and drives scalable growth.
The ideal candidate brings a strong combination of hands-on technical expertise in LLMs/ML, and the ability to translate AI capabilities into real business outcomes across CX, operations, and back-office functions. 
Key Responsibilities<ul><li>Define and execute the enterprise AI strategy, driving adoption of Agentic AI, LLMs, and ML aligned to business KPIs</li><li>Identify and implement high-impact use cases across predictive analytics, generative AI, and intelligent automation</li><li>Design, build, and deploy AI agents and workflows with capabilities like multi-step reasoning, tool integration, and decision-making</li><li>Lead hands-on development using LLMs (e.g., Claude), orchestration frameworks, and ML models</li><li>Drive enterprise-wide adoption of LLMs across Customer Support, Finance, HR, and Operations, including training and enablement</li><li>Develop reusable assets such as prompt libraries, templates, and AI playbooks</li><li>Integrate AI solutions with CRM, CX platforms, and data/BI systems to enable end-to-end automation</li><li>Establish governance frameworks for responsible AI, including accuracy, bias mitigation, and compliance</li><li>Monitor performance and continuously optimize AI solutions to improve efficiency, cost, and productivity</li><li>Evaluate AI technologies and lead the transition to AI-first architecture</li><li>Build and lead AI/ML teams while upskilling the broader organization</li></ul> 
Required Qualifications<ul><li>2&ndash;12+ years of experience in AI, Machine Learning, or Automation</li><li>Proven experience deploying LLMs in production and building ML models for business use cases</li><li>Experience with Agentic AI or autonomous workflow automation</li><li>Hands-on expertise with LLMs (e.g., Claude), prompt engineering, and API integration</li><li>Experience with LLM orchestration frameworks and Python-based ML ecosystems</li><li>Strong understanding of NLP, generative AI, and predictive modeling</li><li>Experience in BPO, CX, or operations-driven environments preferred</li></ul> 
Preferred Qualifications<ul><li>Experience building AI copilots or internal AI platforms</li><li>Familiarity with Azure AI / Microsoft ecosystem (Fabric, Power BI, Dynamics)</li><li>Experience in speech analytics, sentiment analysis, or behavioral modeling</li><li>Understanding of data engineering and data pipelines</li></ul></div>

Head of Agentic AI & Automation

CabCall Experts (CCE)

About CabCall Experts:CabCall Experts is a leading call answering and dispatch service provider, supporting taxi companies across the UK, Australia, and the US. We are committed to delivering reliable, high-quality customer support solutions to our global clients.Job Description:We are seeking a commercially driven CRM &amp; AI Systems Manager to design, implement, and optimise a fully integrated CRM and intelligent systems ecosystem. This is a key role focused on building a best-in-class Zoho CRM platform while embedding AI solutions to improve sales performance, operational efficiency, and customer experience.Key Responsibilities:<ul><li>Lead CRM selection, implementation, and optimisation (Zoho CRM preferred)</li><li>Identify and implement AI use cases (lead scoring, forecasting, reporting, proposals, and client communication)</li><li>Integrate CRM with finance, marketing, and operational systems</li><li>Build real-time dashboards and generate actionable insights</li><li>Drive user adoption through training and promote a data-driven, AI-enabled culture</li><li>Continuously improve processes, workflows, and pipeline performance</li></ul>Requirements:<ul><li>5&ndash;6 years of experience in CRM implementation and management (Zoho preferred)</li><li>Experience with automation and/or AI integration in business processes</li><li>Strong understanding of sales pipelines and CRM workflows</li><li>Bachelor&rsquo;s degree in Computer Science, IT, Software Engineering, or related field (preferred)</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Collaborative and growth-oriented work environment</li><li>Opportunity to lead AI-driven transformation initiatives</li></ul>How to Apply:Please submit your resume along with a brief cover letter outlining your relevant experience.Pay: Rs15,000.00 per monthWork Location: In person

CRM and AI Systems Manager

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Head of Agentic AI & Automation

CRM and AI Systems Manager