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Working Solutions Jobs (NOW HIRING)

AllianceBernstein

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

The role involves hands-on development of AI applications, working closely with business users to translate requirements into technical solutions, and ensuring compliance with governance and security ...

Domino Data Lab

Solution Architect

$180K - $220K/yr

... working solutions. What your impact will be * Design and deliver solution architectures that integrate Domino into customer IT landscapes across infrastructure, data, identity, and security. * Build ...

Landis+Gyr

Sr SAP Solutions Architect

Alpharetta, GA · On-site

$145K - $192K/yr

As part of the global SAP organization, you can rely on an experienced and motivated SAP team which supports you in bringing concepts into working solutions. Key Responsibilities and Accountabilities ...

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Working Solutions information

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$7

$30

$65

How much do working solutions jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for working solutions in the United States is $30.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $38.46 per hour, depending on experience, location, and employer.

What does a typical day look like for an agent at Working Solutions, and how is work assigned?

A typical day for a Working Solutions agent involves logging into the company’s virtual platform, reviewing daily tasks or schedules, and handling customer inquiries via phone, chat, or email. Work assignments are generally based on the client program you support and your availability, allowing for flexibility in choosing shifts that fit your lifestyle. Agents often collaborate with team leads and receive support through virtual meetings or chat channels, ensuring everyone stays informed and connected. The work environment is fully remote, so self-motivation and strong communication skills are essential for success.

What are Working Solutions agents?

Working Solutions agents are independent contractors who provide customer service, sales, or technical support from home for various companies. Agents work remotely on a flexible schedule, handling inbound calls, emails, or chats on behalf of client businesses in industries such as retail, healthcare, and travel. Working Solutions matches agents to projects based on their skills and experience, and provides training before they begin. This role is ideal for individuals seeking work-from-home opportunities with flexible hours.

What are the key skills and qualifications needed to thrive as a Working Solutions Customer Service Representative, and why are they important?

To thrive as a Working Solutions Customer Service Representative, you need strong communication skills, problem-solving abilities, and prior customer service experience, often supported by a high school diploma or equivalent. Familiarity with CRM software, call center platforms, and remote communication tools is commonly required. Exceptional listening, empathy, and self-motivation help individuals excel in a remote and customer-focused environment. These skills ensure high-quality service delivery, customer satisfaction, and effective remote collaboration.

What is the difference between Working Solutions vs Customer Service Representative?

AspectWorking SolutionsCustomer Service Representative
CredentialsNo formal degree required; training providedHigh school diploma or equivalent; training often provided
Work EnvironmentRemote, home-basedTypically office or remote-based
Industry UsageCustomer service, sales, technical supportCustomer service across various industries
Job FocusHandling customer inquiries, support, salesAssisting customers, resolving issues

Working Solutions is a remote customer service and sales company that hires independent contractors, offering flexible work. Customer Service Representatives are roles within many companies focused on assisting customers. While both involve customer interaction, Working Solutions emphasizes remote, contract-based work, whereas Customer Service Representatives may work in various settings and companies.

More about Working Solutions jobs
What cities are hiring for Working Solutions jobs? Cities with the most Working Solutions job openings:
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What job categories do people searching Working Solutions jobs look for? The top searched job categories for Working Solutions jobs are:
Working Solutions jobs near you
Infographic showing various Working Solutions job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $63,640 per year, or $30.6 per hour.
AI Solutions Engineer

AI Solutions Engineer

SIAL TECHNOLOGY PARTNERS

Nashville, TN • On-site

Other

Re-posted 12 days ago

Job description

Senior AI Solutions Engineer Data & API Integration

We're s seeking an AI Solutions Engineer to build and deliver AI-powered tools that integrate directly with enterprise data and APIs. You will work hands-on with the latest GenAI technologies, partner closely with business users, and deliver practical AI solutions embedded into real investment workflows. This role is ideal for someone who enjoys building, experimenting, and productionizing modern AI tools in a highly analytical, business-driven environment.

As part of the firm's modernization, the Firm is accelerating the adoption of AI-enabled tools that sit directly on top of trusted data and APIs. To realize value, we need hands-on practitioners who can design, build, and integrate AI solutions that are tightly coupled with enterprise data platforms and business workflows. This role focuses on building AI tools that business users actually use from copilots and intelligent assistants to API driven AI services bridging modern AI capabilities with governed investment data.

Role Overview:

You will be a hands-on AI Solutions Engineer responsible for designing, building, and deploying AI-powered tools that integrate with enterprise data platforms and APIs. The role combines deep technical implementation skills with strong business partnership, working directly with investment, risk, and analytics users to deliver AI solutions embedded into real workflows.

This is not a research or advisory role you will build, integrate, and deliver production ready AI tools using modern GenAI, LLM, and APIbased architectures.

Key Responsibilities

Build AI Tools Integrated with Data & APIs

  • Design and implement AI-powered applications that integrate with enterprise data platforms, APIs, and
  • services.
  • Build copilots, assistants, and AI workflows that query, interpret, and act on structured and unstructured
  • data.
  • Integrate AI tools with internal systems, vendor APIs, and curated data layers.

HandsOn GenAI & LLM Development

  • Implement solutions using large language models (LLMs) and modern GenAI frameworks.
  • Build RetrievalAugmented Generation (RAG) patterns using enterprise data sources.
  • Design prompt strategies, orchestration logic, and guardrails for reliable AI behavior.
  • Develop agent-style workflows that combine reasoning, tool usage, and data access.

Business Liaison & Solution Design

  • Partner directly with business users to understand problems, workflows, and opportunities for AI enablement.
  • Translate business requirements into technical AI solution designs.
  • Rapidly prototype, iterate, and productionize AI tools based on user feedback.

API & Integration Architecture

  • Design and consume REST based APIs to connect AI tools with data, services, and downstream systems.
  • Build middleware or service layers that enable secure, scalable AI access to enterprise data.
  • Ensure AI tools are modular, reusable, and extensible.

AI Governance, Security & Responsible Use

  • Ensure AI solutions comply with enterprise security, privacy, and data governance standards.
  • Implement controls around data access, prompt safety, and output validation.
  • Partner with architecture and risk teams to operationalize AI responsibly.

Stay Current with AI Technology

  • Continuously evaluate and apply the latest AI tools, frameworks, and platform capabilities.
  • Bring forward best practices and emerging patterns in GenAI, copilots, and AIdriven applications.
  • Help shape enterprise standards for AI solution development.

Required Skills & Qualifications:

AI & GenAI Engineering (Core)

  • Hands-on experience building AI applications using LLMs (OpenAI, Azure OpenAI, or equivalent).
  • Experience implementing RAG architectures and AI workflows using enterprise data.
  • Strong understanding of prompt engineering, orchestration, and AI behavior tuning.

APIs & Integration

  • Strong experience designing and consuming REST APIs.
  • Ability to integrate AI tools with data platforms, internal services, and third party systems.
  • Experience building lightweight service layers or backend components for AI applications.

Programming & Tooling

  • Proficiency in Python and/or TypeScript/JavaScript for AI application development.
  • Familiarity with modern AI frameworks and SDKs (e.g., LangChain, Semantic Kernel, similar).
  • Experience deploying AI solutions in cloud environments (Azure preferred).

Data Literacy

  • Strong understanding of structured and unstructured data concepts.
  • Ability to work with curated datasets, semantic layers, and metadata driven access patterns.
  • Comfort integrating AI solutions with analytics and reporting data.

Business Partnership

  • Proven ability to work directly with business users and translate needs into working solutions.
  • Strong communication skills across technical and nontechnical audiences.
  • Productoriented mindset focused on usability and adoption.

Nice to Have

  • Experience with Microsoft Copilot, Power Platform, or enterprise AI assistants.
  • Familiarity with Snowflake, Databricks, or enterprise data warehouses (integration focus).
  • Exposure to investment, financial, or analytical domains.


We look forward to reviewing your profile.

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